14.5.5.3 Neural Networks for Classification and Pattern Recognition

Caianiello, E.R., Grimson, W.E.L.,
Methods of Analysis of Neural Nets,
BioCyber(22), 1976, pp. 1-6. BibRef 7600

Caianiello, E.R., Grimson, W.E.L.,
Synthesis of Boolean Nets and Time Behavior of a General Mathematical Neuron,
BioCyber(18), 1975, pp. 111-117. BibRef 7500

Takiyama, R.[Ryuzo],
Multiple threshold perceptron,
PR(10), No. 1, 1978, pp. 27-30.
WWW Version. 0309
BibRef

Reilly, D.L., Cooper, L.N., Elbaum, C.,
A Neural Model for Category Learning,
BioCyber(45), 1982, pp. 35-41.
PDF Version. BibRef 8200

Fukushima, K.[Kunihiko], Miyake, S.[Sei],
Neocognitron: A new algorithm for pattern recognition tolerant of deformations and shifts in position,
PR(15), No. 6, 1982, pp. 455-469.
WWW Version. 0309
This algorithm can be realized with a multilayered network consisting of neuron-like cells. BibRef

Lippmann, R.P.[Richard P.],
Pattern Classification Using Neural Networks,
CommunMag(27), No. 11, November, 1989, pp. pp. 47-54. Prototype based classifier faster than gradient descent. BibRef 8911

Wu, C.H.[Chung-Hsien], Wang, J.F.[Jhing-Fa], Wu, W.H.[Wen-Horng],
A shunting multilayer perceptron network for confusing/composite pattern recognition,
PR(24), No. 11, 1991, pp. 1093-1103.
WWW Version. 0401
BibRef

Hassoun, M.H., and Song, J.,
Adaptive Ho-Kashyap Rules for Perceptron Training,
TNN(3), No. 1, 1992, pp. 51-61. See also Algorithm for Linear Inequalities and its Applications, An. BibRef 9200

Widrow, B., and Winter, R.,
Neural Nets for Adaptive Filtering and Adaptive Pattern Recognition,
Computer(21), No. 3, March 1988, pp. 25-39. BibRef 8803

Fukushima, K.,
A Neural Network for Visual Pattern Recognition,
Computer(21), No. 3, March 1988, pp. 65-75. BibRef 8803

Tsao, E.C.K.[Eric Chen-Kuo], Lin, W.C.[Wei-Chung], Chen, C.T.[Chin-Tu],
Constraint satisfaction neural networks for image recognition,
PR(26), No. 4, April 1993, pp. 553-567.
WWW Version. 0401
BibRef
Earlier: A2, A1, A3:
Constraint Satisfaction Neural Networks for Image Segmentation,
PR(25), No. 7, July 1992, pp. 679-693.
WWW Version. BibRef

Bilbro, G.L., Snyder, W.E., Garnier, S.J., Gault, J.W.,
Mean Field Annealing: A Formalism for Constructing GNC-Like Algorithms,
TNN(3), No. 1, January 1992, pp. xx. BibRef 9201

Gupta, L.[Lalit], Wang, J.S.[Jie-Sheng], Charles, A.[Alain], Kisatsky, P.[Paul],
Prototype selection rules for neural network training,
PR(25), No. 11, November 1992, pp. 1401-1408.
WWW Version. 0401
BibRef

Shih, F.Y.[Frank Y.], Moh, J.[Jenlong], Chang, F.C.[Fu-Chun],
A new art-based neural architecture for pattern classification and image enhancement without prior knowledge,
PR(25), No. 5, May 1992, pp. 533-542.
WWW Version. 0401
BibRef

Chou, W.S.[Wen-Shou], Chen, Y.C.[Yung-Chang],
A new fast algorithm for effective training of neural classifiers,
PR(25), No. 4, April 1992, pp. 423-429.
WWW Version. 0401
BibRef

Yeung, D.Y.[Dit-Yan],
Constructive neural networks as estimators of bayesian discriminant functions,
PR(26), No. 1, January 1993, pp. 189-204.
WWW Version. 0401
BibRef

Kim, H.J., Yang, H.S.,
A Neural-Network Capable of Learning and Inference for Visual-Pattern Recognition,
PR(27), No. 10, October 1994, pp. 1291-1302.
WWW Version. BibRef 9410

Pham, D.T., Bayro-Corrochano, E.J.,
Self-organizing neural-network-based pattern clustering method with fuzzy outputs,
PR(27), No. 8, August 1994, pp. 1103-1110.
WWW Version. 0401
BibRef

Abou-Nasr, M.A., Sid-Ahmed, M.A.,
Fast learning and efficient memory utilization with a prototype based neural classifier,
PR(28), No. 4, April 1995, pp. 581-593.
WWW Version. 0401
prototype classifiers learn faster than gradient descent methods. BibRef

Moh, J.[Jenlong], Shih, F.Y.[Frank Y.],
A general purpose model for image operations based on multilayer perceptrons,
PR(28), No. 7, July 1995, pp. 1083-1090.
WWW Version. 0401
BibRef

Wang, L.P.[Li-Po], Alkon, D.L.[Daniel L.],
An artificial neural network system for temporal-spatial sequence processing,
PR(28), No. 8, August 1995, pp. 1267-1276.
WWW Version. 0401
BibRef

Tumer, K.[Kagan], Ghosh, J.[Joydeep],
Analysis of decision boundaries in linearly combined neural classifiers,
PR(29), No. 2, February 1996, pp. 341-348.
WWW Version. 0401
BibRef
Earlier:
Estimating the Bayes Error Rate Through Classifier Combining,
ICPR96(II: 695-699).
IEEE DOI Link 9608
(Univ. of Texas, Austin, USA) BibRef

Ravichandran, A., Yegnanarayana, B.,
Studies on Object Recognition from Degraded Images Using Neural Networks,
NeurNet(8), No. 3, 1995, pp. 481-488. BibRef 9500

Graf, H.P., Nohl, C.R., Ben, J.,
Image Recognition with an Analog Neural-Net Chip,
MVA(8), No. 2, 1995, pp. 131-140. BibRef 9500
Earlier: ICPR92(IV:11-14).
IEEE DOI Link 9208
BibRef

Lin, W.G., Wang, S.S.,
A Modified S-Neuron and Its Application to Scale-Invariant Classification,
PR(28), No. 9, September 1995, pp. 1423-1432.
WWW Version. BibRef 9509

Gazula, S.[Srinivas], Kabuka, M.R.[Mansur R.],
Design of Supervised Classifiers Using Boolean Neural Networks,
PAMI(17), No. 12, December 1995, pp. 1239-1246.
IEEE Abstract.
WWW Version. BibRef 9512
And: A2 only:
Reply to: Comments on 'Design of Supervised Classifiers Using Boolean Neural Networks',
PAMI(21), No. 9, September 1999, pp. 957-958.
IEEE Abstract.
WWW Version. See also Comments on Design of Supervised Classifiers Using Boolean Neural Networks. BibRef

Hussain, B., Kabuka, M.R.,
A novel feature recognition neural network and its application to character recognition,
PAMI(16), No. 1, January 1994, pp. 98-106.
IEEE Abstract.
WWW Version. 0401
BibRef

Smith, G.,
Comments on 'Design of Supervised Classifiers Using Boolean Neural Networks',
PAMI(21), No. 9, September 1999, pp. 956.
IEEE Abstract.
WWW Version. See also Design of Supervised Classifiers Using Boolean Neural Networks. BibRef 9909

Ishii, S., Fukumizu, K., and Watanabe, S.,
A net work of chaotic elements for information processing,
NeurNet(9), No. 1, 1996, pp. 25-40.
WWW Version. BibRef 9600

Cheng, K.S.[Kuo-Sheng], Lin, J.S.[Jzau-Sheng], Mao, C.W.[Chi-Wu],
The Application of Competitive Hopfield Neural Network to Medical Image Segmentation,
MedImg(15), No. 4, August 1996, pp. 560-567.
IEEE Top Reference. 0203
BibRef

Ziemke, T.,
Radar Image Segmentation Using Recurrent Artificial Neural Networks,
PRL(17), No. 4, April 4 1996, pp. 319-334. 9605
BibRef

Grimes, C., Picton, P.D., Elliman, D.G.,
A Neural-Network Position-Independent Multiple Pattern Recogniser,
AIEng(10), No. 2, 1996, pp. 117-126. BibRef 9600

Elliman, D.G.[David G.], Youssef, S.M.[Sherin M.],
Contextual Swarm-Based Multi-layered Lattices: A New Architecture for Contextual Pattern Recognition,
DAS04(496-507).
WWW Version. 0505
BibRef

di Zenzo, S.[Silvano],
Pattern recognition of collections,
IVC(1), No. 2, May 1983, pp. 93-97.
WWW Version. 0401
BibRef

di Zenzo, S., Burgess, N., Ferragina, P., Granieri, M.N.,
Recognition by Constructive Neural Algorithms,
PRL(14), No. 12, December 1993, pp. 997-1007. BibRef 9312

Burgess, N., Granieri, M.N.,
A growing network classifier of 3D objects using multiple views,
ICPR92(II:512-515).
IEEE DOI Link 9208
BibRef

Ridella, S., Rovetta, S., Zunino, R.,
Circular Backpropagation Networks for Classification,
TNN(8), No. 1, January 1997, pp. 84-97. 9701
BibRef

Kanaoka, T., Chellappa, R., Yoshitaka, M., Tomita, S.,
A Higher-Order Neural Network for Distortion Invariant Pattern Recognition,
PRL(13), 1992, pp. 837-841. BibRef 9200

Kaita, T.[Takeshi], Tomita, S.[Shingo], Yamanaka, J.[Junkichi],
On a Higher-Order Neural Network for Distortion Invariant Pattern Recognition,
PRL(23), No. 8, June 2002, pp. 977-984.
HTML Version. 0204
BibRef

Osman, H., Fahmy, M.M.,
On The Discriminatory Power Of Adaptive Feedforward Layered Networks,
PAMI(16), No. 8, August 1994, pp. 837-842.
IEEE Abstract.
WWW Version. BibRef 9408

Osman, H., Fahmy, M.M.,
Neural Classifiers and Statistical Pattern-Recognition: Applications for Currently Established Links,
SMC-B(27), No. 3, June 1997, pp. 488-497.
IEEE Top Reference. 9706
BibRef

Hsu, T.C., Wang, S.D.,
The K1-Map Reduction for Pattern Classifications,
PAMI(19), No. 6, June 1997, pp. 616-622.
IEEE Abstract.
WWW Version. 9708
An approach for Restricted Coulomb Energy (RCE) networks to determine the number of clusters or network centers. BibRef

Banarse, D.S., Duller, A.W.G.,
Deformation Invariant Visual Object Recognition: Experiments with a Self-Organizing Neural Architecture,
NeurCompApp(6), No. 2, 1997, pp. 79-90. 9801
BibRef

Ray, K.S., Ghoshal, J.,
Neuro Fuzzy Approach to Pattern-Recognition,
NeurNet(10), No. 1, January 1997, pp. 161-182. 9702
BibRef

Ornes, C., Sklansky, J.,
A Neural-Network That Visualizes What It Classifies,
PRL(18), No. 11-13, November 1997, pp. 1301-1306. 9806
BibRef

Ornes, C., Sklansky, J.,
A Visual Neural Classifier,
SMC-B(28), No. 4, August 1998, pp. 620-625.
IEEE Top Reference. 9808
BibRef

Ornes, C.[Chester], Sklansky, J.[Jack], Disher, A.[Anthony],
A Visual Neural Network that Learns Perceptual Relationships,
ICPR98(Vol I: 873-875).
IEEE DOI Link 9808
BibRef

Auda, G., Kamel, M.,
CMNN: Cooperative Modular Neural Networks for Pattern Recognition,
PRL(18), No. 11-13, November 1997, pp. 1391-1398. 9806
BibRef

Murino, V.,
Structured Neural Networks for Pattern Recognition,
SMC-B(28), No. 4, August 1998, pp. 553-561.
IEEE Top Reference. 9808
BibRef

Lu, Z.K., Chi, Z.R., Siu, W.C.,
Length Estimation of Digit Strings Using a Neural Network with Structure Based Features,
JEI(7), No. 1, January 1998, pp. 79-85. 9807
BibRef

Chen, C.W., Chen, L.L.,
Cellular Neural Network Architecture for Gibbs Random Field Based Image Segmentation,
JEI(7), No. 1, January 1998, pp. 45-51. 9807
BibRef

Chen, C.W., Chen, L.L., Luo, J.B.,
A Cellular Neural Network for Clustering-Based Adaptive Quantization in Subband Video Compression,
CirSysVideo(6), No. 6, December 1996, pp. 688-692.
IEEE Top Reference. 9701
BibRef

Aizenberg, I.N.,
Processing of Noisy and Small Detailed Gray Scale Images Using Cellular Neural Networks,
JEI(6), No. 3, July 1997, pp. 272-285. 9807
BibRef

Aldrich, C.,
Visualization of Transformed Multivariate Data Sets with Autoassociative Neural Networks,
PRL(19), No. 8, June 1998, pp. 749-764. 9808
BibRef

Lin, C.C.[Che-Chern], El-Jaroudi, A.[Amro],
An Algorithm to Determine the Feasibilities and Weights of Two-Layer Perceptrons for Partitioning and Classification,
PR(31), No. 11, November 1998, pp. 1613-1625.
WWW Version. BibRef 9811

Zhou, W.,
Verification of the Nonparametric Characteristics of Backpropagation Neural Networks for Image Classification,
GeoRS(37), No. 2, March 1999, pp. 771.
IEEE Top Reference. BibRef 9903

Carozza, M.[Menita], Rampone, S.[Salvatore],
Function approximation from noisy data by an incremental RBF network,
PR(32), No. 12, December 1999, pp. 2081-2083.
WWW Version. BibRef 9912

Carozza, M.[Menita], Rampone, S.[Salvatore],
An incremental multivariate regression method for function approximation from noisy data,
PR(34), No. 3, March 2001, pp. 695-702.
WWW Version. 0101
BibRef

Li, X.L.[Xiao-Lin], Parizeau, M.[Marc], Plamondon, R.[Rejean],
Training Hidden Markov Models with Multiple Observations: A Combinatorial Method,
PAMI(22), No. 4, April 2000, pp. 371-377.
IEEE Abstract.
WWW Version. 0006
BibRef

Lin, C.T., Lee, Y.C., Pu, H.C.,
Satellite Sensor Image Classification Using Cascaded Architecture of Neural Fuzzy Network,
GeoRS(38), No. 2, March 2000, pp. 1033-1043.
IEEE Top Reference. 0004
BibRef

Simpson, J.J., McIntire, T.J., Sienko, M.,
An Improved Hybrid Clustering Algorithm for Natural Scenes,
GeoRS(38), No. 2, March 2000, pp. 1016-1032.
IEEE Top Reference. 0004
BibRef

Gupta, L.[Lalit], McAvoy, M.[Mark], Phegley, J.[James],
Classification of temporal sequences via prediction using the simple recurrent neural network,
PR(33), No. 10, October 2000, pp. 1759-1770.
WWW Version. 0006
BibRef

Rughooputh, H.C.S., Rughooputh, S.D.D.V.,
Spectral recognition using a modified Eckhorn neural network model,
IVC(18), No. 14, November 2000, pp. 1101-1103.
WWW Version. 0101
BibRef

Lin, J.S.[Jzau-Sheng],
Annealed chaotic neural network with nonlinear self-feedback and its application to clustering problem,
PR(34), No. 5, May 2001, pp. 1093-1104.
WWW Version. 0102
BibRef

Go, J.[Jinwook], Han, G.[Gunhee], Kim, H.[Hagbae], Lee, C.H.[Chul-Hee],
Multigradient: a new neural network learning algorithm for pattern classification,
GeoRS(39), No. 5, May 2001, pp. 986-993.
IEEE Top Reference. 0106
BibRef

Suganthan, P.N.,
Pattern classification using multiple hierarchical overlapped self-organising maps,
PR(34), No. 11, November 2001, pp. 2173-2179.
WWW Version. 0108
BibRef

Laha, A., Pal, N.R.,
Some novel classifiers designed using prototypes extracted by a new scheme based on self-organizing feature map,
SMC-B(31), No. 6, December 2001, pp. 881-890.
IEEE Top Reference. 0201
See also Design of Vector Quantizer for Image Compression Using Self-Organizing Feature Map and Surface Fitting. BibRef

Iyatomi, H.[Hitoshi], Hagiwara, M.[Masafumi],
Scenery image recognition and interpretation using fuzzy inference neural networks,
PR(35), No. 8, August 2002, pp. 1793-1806.
WWW Version. 0206
BibRef

Iyatomi, H.[Hitoshi], Hagiwara, M.[Masafumi],
Adaptive fuzzy inference neural network,
PR(37), No. 10, October 2004, pp. 2049-2057.
WWW Version. 0409
Initial rule, selection of important elements, identification of the network structure, parameter estimation. BibRef

Augusteijn, M.F., Folkert, B.A.,
Neural network classification and novelty detection,
JRS(23), No. 14, July 2002, pp. 2891-2902. 0208
BibRef

Gallagher, M., Downs, T.,
Visualization of learning in multilayer perceptron networks using principal component analysis,
SMC-B(33), No. 1, February 2003, pp. 28-34.
IEEE Top Reference. 0301
BibRef

Lin, J.S.[Jzau-Sheng], Liu, S.H.[Shao-Han],
Classification of multispectral images based on a fuzzy-possibilistic neural network,
SMC-C(32), No. 4, November 2002, pp. 499-506.
IEEE Top Reference. 0301
BibRef

Jiang, X.D.[Xu-Dong], Wah, A.H.K.S.[Alvin Harvey Kam Siew],
Constructing and training feed-forward neural networks for pattern classification,
PR(36), No. 4, April 2003, pp. 853-867.
WWW Version. 0304
BibRef

Raudys, A.,
Boosting neural network feature extraction by reduced accuracy activation functions,
PR(36), No. 6, June 2003, pp. 1343-1354.
WWW Version. 0304
BibRef

Venkatesh, Y.V., Raja, S.K.[S. Kumar],
On the classification of multispectral satellite images using the multilayer perceptron,
PR(36), No. 9, September 2003, pp. 2161-2175.
WWW Version. 0307
BibRef

Porter, R.B.[Reid B.], Harvey, N.R.[Neal R.], Perkins, S.[Simon], Theiler, J.[James], Brumby, S.P.[Steven P.], Bloch, J.J.[Jeffrey J.], Gokhale, M.[Maya], Szymanski, J.J.[John J.],
Optimizing Digital Hardware Perceptrons for Multi-Spectral Image Classification,
JMIV(19), No. 2, September 2003, pp. 133-150.
WWW Version. 0308
BibRef

Park, S.B.[Soo Beom], Lee, J.W.[Jae Won], Kim, S.K.[Sang Kyoon],
Content-based image classification using a neural network,
PRL(25), No. 3, February 2004, pp. 287-300.
WWW Version. 0401
BibRef

Han, M.[Min], Xi, J.H.[Jian-Hui],
Efficient clustering of radial basis perceptron neural network for pattern recognition,
PR(37), No. 10, October 2004, pp. 2059-2067.
WWW Version. 0409
BibRef

Alaiz-Rodríguez, R.[Rocío], Guerrero-Curieses, A.[Alicia], Cid-Sueiro, J.[Jesús],
Minimax classifiers based on neural networks,
PR(38), No. 1, January 2005, pp. 29-39.
WWW Version. 0410
BibRef

Sanz, P.J., Marin, R., Sanchez, J.S.,
Including efficient object recognition capabilities in online robots: from a statistical to a Neural-network classifier,
SMC-C(35), No. 1, February 2005, pp. 87-96.
IEEE Abstract. 0501
BibRef

Lim, C.P.[Chee-Peng], Leong, J.H.[Jenn-Hwai], Kuan, M.M.[Mei-Ming],
A Hybrid Neural Network System for Pattern Classification Tasks with Missing Features,
PAMI(27), No. 4, April 2005, pp. 648-653.
IEEE Abstract. 0501
Classification with incomplete data. BibRef

Artyomov, E.[Evgeny], Yadid-Pecht, O.[Orly],
Modified high-order neural network for invariant pattern recognition,
PRL(26), No. 6, 1 May 2005, pp. 843-851.
WWW Version. 0501
BibRef

Yadid-Pecht, O., Gur, M.,
A simple 'possibilistic' clustering neural network,
ICPR94(B:520-521).
IEEE DOI Link 9410
BibRef

Spratling, M.W.[Michael W.],
Learning Viewpoint Invariant Perceptual Representations from Cluttered Images,
PAMI(27), No. 5, May 2005, pp. 753-761.
IEEE Abstract. 0501
Neural network application. Learn simple patterns in all orientations. BibRef

Qin, A.K., Suganthan, P.N.,
Enhanced neural gas network for prototype-based clustering,
PR(38), No. 8, August 2005, pp. 1275-1288.
WWW Version. 0505
Code, Neural Networks. BibRef
Earlier:
Kernel neural gas algorithms with application to cluster analysis,
ICPR04(IV: 617-620).
IEEE DOI Link 0409
Code available:
WWW Version. BibRef

Delgado, M., Pegalajar, M.C.,
A multiobjective genetic algorithm for obtaining the optimal size of a recurrent neural network for grammatical inference,
PR(38), No. 9, September 2005, 1444-1456.
WWW Version. 0506
BibRef

Chi, H.M.[Hoi-Ming], Ersoy, O.K.,
A statistical self-organizing learning system for remote sensing classification,
GeoRS(43), No. 8, August 2005, pp. 1890-1900.
IEEE DOI Link 0508
BibRef

Zhang, H., Huang, W., Huang, Z., Zhang, B.,
A Kernel Autoassociator Approach to Pattern Classification,
SMC-B(35), No. 3, June 2005, pp. 593-606.
IEEE DOI Link 0508
BibRef

Perez, C.A., Gonzalez, G.D., Medina, L.E., Galdames, F.J.,
Linear Versus Nonlinear Neural Modeling for 2-D Pattern Recognition,
SMC-A(35), No. 6, November 2005, pp. 955-964.
IEEE DOI Link 0510
BibRef

Cang, S., Yu, H.,
Novel probabilty neural network,
VISP(152), No. 5, October 2005, pp. 535-544.
WWW Version. 0512
BibRef

Ng, W.W.Y.[Wing W.Y.], Dorado, A.[Andres], Yeung, D.S.[Daniel S.], Pedrycz, W.[Witold], and Izquierdo, E.[Ebroul],
Image classification with the use of radial basis function neural networks and the minimization of the localized generalization error,
PR(40), No. 1, January 2007, pp. 19-32.
WWW Version. 0611
Image classification; Radial basis functions neural networks; MPEG-7; Support vector machines; Generalization error BibRef

Chandramouli, K., Izquierdo, E.,
Image Classification using Chaotic Particle Swarm Optimization,
ICIP06(3001-3004). 0610

IEEE DOI Link BibRef

Chung, F.L., Wang, S., Deng, Z., Hu, D.,
CATSMLP: Toward a Robust and Interpretable Multilayer Perceptron With Sigmoid Activation Functions,
SMC-B(36), No. 6, December 2006, pp. 1319-1331.
IEEE DOI Link 0701
BibRef

del Frate, F.[Fabio], Pacifici, F.[Fabio], Schiavon, G.[Giovanni], Solimini, C.[Chiara],
Use of Neural Networks for Automatic Classification From High-Resolution Images,
GeoRS(45), No. 4, April 2007, pp. 800-809.
IEEE DOI Link 0704
BibRef

Meher, S.K.[Saroj K.], Uma Shankar, B., Ghosh, A.[Ashish],
Wavelet-Feature-Based Classifiers for Multispectral Remote-Sensing Images,
GeoRS(45), No. 6, June 2007, pp. 1881-1886.
IEEE DOI Link 0706
BibRef

Shankar, B.U.[B. Uma], Meher, S.K.[Saroj K.], Ghosh, A.[Ashish], Bruzzone, L.[Lorenzo],
Remote Sensing Image Classification: A Neuro-fuzzy MCS Approach,
ICCVGIP06(128-139).
Springer DOI Link 0612
BibRef

Misra, B.B., Dehuri, S., Dash, P.K., Panda, G.,
A reduced and comprehensible polynomial neural network for classification,
PRL(29), No. 12, 1 September 2008, pp. 1705-1712.
WWW Version. 0804
Classification; Polynomial neural network; Particle swarm optimization BibRef

Ponalagusamy, R., Senthilkumar, S.,
A new fourth order embedded RKAHeM(4,4) method with error control on multilayer raster cellular neural network,
SIViP(3), No. 1, January 2009, pp. xx-yy.
Springer DOI Link 0902
initial value problems. BibRef

Ponalagusamy, R., Senthilkumar, S.,
A new fourth order embedded RKAHeM(4,4) method with error control on single layer/raster cellular neural network,
SIViP(3), No. 3, September 2009, pp. xx-yy.
Springer DOI Link 0910
BibRef

Wang, J.S.[Jeen-Shing], Hsu, Y.L.[Yu-Liang], Lin, H.Y.[Hung-Yi], Chen, Y.P.[Yen-Ping],
Minimal model dimension/order determination algorithms for recurrent neural networks,
PRL(30), No. 9, 1 July 2009, pp. 812-819.
Elsevier DOI Link
WWW Version. 0905
Model dimension/order determination; Nonlinear system identification; Recurrent neural networks; Minimal realization BibRef

Su, M.C.[Mu-Chun], Su, S.Y.[Shi-Yong], Zhao, Y.X.[Yu-Xiang],
A swarm-inspired projection algorithm,
PR(42), No. 11, November 2009, pp. 2764-2786.
Elsevier DOI Link
WWW Version. 0907
Cluster analysis; Projection; Neural networks; Self-organizing feature map; Swarm intelligence BibRef

Taylor, J.G., Hartley, M., Taylor, N., Panchev, C., Kasderidis, S.,
A hierarchical attention-based neural network architecture, based on human brain guidance, for perception, conceptualisation, action and reasoning,
IVC(27), No. 11, 2 October 2009, pp. 1641-1657,.
Elsevier DOI Link
WWW Version. 0909
Dorsal and ventral vision; Object representations; Dopamine as reward; TD learning BibRef

Fontenla-Romero, O.[Oscar], Guijarro-Berdinas, B.[Bertha], Perez-Sanchez, B.[Beatriz], Alonso-Betanzos, A.[Amparo],
A new convex objective function for the supervised learning of single-layer neural networks,
PR(43), No. 5, May 2010, pp. 1984-1992.
Elsevier DOI Link
WWW Version. 1003
Single-layer neural networks; Global optimum; Supervised learning method; Least squares; Convex optimization; Incremental learning BibRef

Rubi-Velez, A.[Anna], Gomez-Ramirez, E.[Eduardo], Pazienza, G.E.[Giovanni E.],
Computing the Weights of Polynomial Cellular Neural Networks Using Quadratic Programming,
CIARP09(645-652).
Springer DOI Link 0911
BibRef

Stasiak, B.[Bartlomiej],
Two-Dimensional Fast Orthogonal Neural Network for Image Recognition,
CIARP09(653-660).
Springer DOI Link 0911
BibRef

Chen, F.Y.[Fang-Yue], Chen, L.[Lin], Jin, W.F.[Wei-Feng],
Robust Designs of Selected Objects Extraction CNN,
CISP09(1-3).
IEEE DOI Link 0910
cellular neural/nonlinear network. BibRef

Liu, W.[Wei], Li, W.H.[Wen-Hui],
An Algorithmic Framework to the Optimal Mapping Function by a Radial Basis Function Neural Network,
CISP09(1-4).
IEEE DOI Link 0910
BibRef

Wang, L.[Lei], Wen, X.B.[Xian-Bin], Jiao, X.[Xu], Zhang, J.G.[Jian-Guang],
Object Recognition Using a Bayesian Network Imitating Human Neocortex,
CISP09(1-5).
IEEE DOI Link 0910
BibRef

Peerasathein, T., Woo, M.[Myung], Gaborski, R.S.,
Biologically Inspired Object Categorization in Cluttered Scenes,
AIPR07(117-122).
IEEE DOI Link 0710
I.e. recognize what separately from where. Implement the what is it, not where is it. BibRef

Sporns, O.,
Complex neural networks as future tools in imagery analysis,
AIPR04(67-72).
IEEE DOI Link 0410
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Sugiyama, M., Ogawa, H.,
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Feedforward Neural Networks with Multilevel Hidden Neurons for Remotely Sensed Image Classification,
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Multi-Valued and Universal Binary Neurons: Mathematical Model, Learning, Networks, Application to Image Processing and Pattern Recognition,
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Michaelis, B., Schnelting, O., Seiffert, U., Mecke, R.,
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Petkov, N.[Nikolay],
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Lin, S.H.[Shang-Hung], Kung, S.Y.,
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Cheng, X.S., Backer, E., Gerbrands, J.J.,
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Kamata, S.I., Eason, R.O., Perez, A., Kawaguchi, E.,
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Patrikar, A.,
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Chapter on Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms continues in
Neural Networks for Shapes and Complex Features .