14.5.7 Neural Networks

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Neural Networks.

14.5.7.1 Neural Networks: General, Survey, Special Issues

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Survey, Neural Networks. Neural Networks.

Deep Learning Tool Kit for Medical Imaging,
2017.
WWW Link. Code, Neural Networks. Neural networks toolkit written in python, on top of Tensorflow. Its modular architecture was developed to enable fast prototyping and ensure reproducibility in image analysis applications, with a particular focus on medical imaging.

Minsky, M.L.[Marvin L.], Papert, S.,
Perceptrons: An Introduction to Computational Geometry,
MIT PressCambridge, MA, 1969. Whey they do not work. BibRef 6900

Minsky, M.L.[Marvin L.], Selfridge, O.G.,
Learning in Random Nets,
IT60(335). BibRef 6000

Dewdney, A.K.,
Computer Recreations,
SciAmer(250), Month missing -- 1984, pp. 22-34. Perceptrons. Discussion of Perceptrons. BibRef 8400

Linsker, R.,
Self-organization in a perceptual network,
TC(21), 1988, pp. 105-117. 0907
BibRef

Pao, Y.H.,
Neural Net Computing for Pattern Recognition,
HPRCV97(Chapter I:4). (Case Western Reserve Univ.) BibRef 9700

Haykin, S.,
Neural Networks: A Comprehensive Introduction,
Prentice Hall1999. BibRef 9900

Skrzypek, J., Karplus, W., (Eds.)
Special Issue-Neural Networks in Vision and Pattern Recognition,
PRAI(6), No. 1, April 1992, pp. 1-208. BibRef 9204

Bischof, H.[Horst], Pinz, A.[Axel],
Artificial Versus Real Neural Networks,
BBS(15), No. 4, 1992, pp. 712. BibRef 9200

Guyun, I., Wang, P.S.P., (Eds.)
Special Issue on Advances in Pattern Recognition Using Neural Networks,
PRAI(8), No. 4, August 1993, pp. 645-963. BibRef 9308

Drucker, H., Schapire, R., Simard, P.Y.,
Boosting Performance in Neural Networks,
PRAI(7), 1993, pp. 705-719. BibRef 9300

Musavi, M.T., Chan, K.H., Hummels, D.M., Kalantri, K.,
On The Generalization Ability Of Neural Network Classifiers,
PAMI(16), No. 6, June 1994, pp. 659-663.
IEEE DOI BibRef 9406

Marshall, J.A.,
Adaptive Perceptual Pattern-Recognition by Self-Organizing Neural Networks: Context, Uncertainty, Multiplicity, and Scale,
NeurNet(8), No. 3, 1995, pp. 335-362. BibRef 9500

Sethi, I.K.,
Special Section on Artificial Neural Networks for Machine Vision,
MVA(8), No. 5, 1995, pp. 261-261.
Springer DOI BibRef 9500

Wang, S.S., Lin, W.G.,
A New Self-Organizing Neural Model for Invariant Pattern-Recognition,
PR(29), No. 4, April 1996, pp. 677-687.
WWW Link. BibRef 9604

Heikkonen, J., Bulsari, A.,
Special Issue on Neural Networks for Computer Vision Applications,
PRL(17), No. 4, April 4 1996, pp. 317-318. 9605
BibRef

Simes, E.D., Uebel, L.F., Augusto, D., Barone, C.,
Hardware Implementation of RAM Neural Networks,
PRL(17), No. 4, April 4 1996, pp. 421-429. 9605
BibRef

Bertin, E., Bischof, H., Bertolino, P.,
Voronoi Pyramids Controlled by Hopfield Neural Networks,
CVIU(63), No. 3, May 1996, pp. 462-475.
DOI Link 9606
BibRef
Earlier: A2, A1, A3:
Voronoi pyramids and Hopfield networks,
ICPR94(C:330-333).
IEEE DOI 9410
BibRef

Sethi, I.K., Yoo, J.H.,
Symbolic Mapping of Neurons in Feedforward Networks,
PRL(17), No. 10, September 2 1996, pp. 1035-1046. Connectionist. BibRef 9609

Chellappa, R., Fukushima, K., Katsaggelos, B.K., Kung, S.Y., Le Cun, Y.L., Nasrabadi, N.M., Poggio, T.A.,
Applications of Artificial Neural Networks to Image Processing,
IP(7), No. 8, August 1998, pp. 1093-1096.
IEEE DOI 9808
BibRef

Benediktsson, J.A., Sveinsson, J.R., Ersoy, O.K., Swain, P.H.,
Parallel Consensual Neural Networks,
TNN(8), No. 1, January 1997, pp. 54-64. 9701
BibRef

Mazza, C.,
Neural-Net Inference and Content-Addressable Memory,
TNN(8), No. 1, January 1997, pp. 133-140. 9701
BibRef

Atkinson, P.M., Tatnall, A.R.L.,
Neural Networks in Remote Sensing: Introduction,
JRS(18), No. 4, March 10 1997, pp. 699-709. 9703
BibRef

Wang, L.F.[Li-Feng], Cheng, H.D.,
Discretizing Continuous Neural Networks Using a Polarization Learning Rule,
PR(30), No. 2, February 1997, pp. 253-260.
WWW Link. 9704
BibRef

Willshaw, D., Hallam, J., Gingell, S., Lau, S.L.,
Marr Theory of the Neocortex as a Self-Organizing Neural-Network,
NeurComp(9), No. 4, May 15 1997, pp. 911-936. 9706
BibRef

Abdel-Wahhab, O.[Osama], Sid-Ahmed, M.A.,
A New Scheme for Training Feedforward Neural Networks,
PR(30), No. 3, March 1997, pp. 519-524.
WWW Link. 9705
BibRef

Pandya, A.S.[Abhijit S.], Macy, R.B.[Robert B.],
Pattern Recognition with Neural Networks in C++,
CRC PressBoca Raton, FL. 1996. Code, Neural Networks. ISBN 0-8493-9462-7. Complete code for the various algorithms. BibRef 9600

Frasconi, P., Gori, M., Soda, G.,
Links Between LVQ and Backpropagation,
PRL(18), No. 4, April 1997, pp. 303-310. 9708
BibRef

Hoekstra, A., Duin, R.P.W.,
Investigating Redundancy in Feedforward Neural Classifiers,
PRL(18), No. 11-13, November 1997, pp. 1293-1300. 9806
BibRef

de Ridder, D., Duin, R.P.W.,
Sammons Mapping Using Neural Networks: A Comparison,
PRL(18), No. 11-13, November 1997, pp. 1307-1316. 9806
See also nonlinear mapping for data structure analysis, A. BibRef

Yan, H., Gupta, M.M.,
Special Section on Neural Networks and Fuzzy Logic for Imaging Applications,
JEI(6), No. 3, July 1997, pp. 270-271. 9807
BibRef

Wilson, C.L., Blue, J.L., Omidvar, O.M.,
Neurodynamics of Learning and Network Performance,
JEI(6), No. 3, July 1997, pp. 379-385. 9807
BibRef

Wang, S.D., Hsu, T.C.,
Perceptron-Perceptron Net,
PRL(19), No. 7, May 1998, pp. 559-568. 9808
BibRef

Verikas, A.[Antanas], Lipnickas, A.[Arunas], Malmqvist, K.[Kerstin], Bacauskiene, M.[Marija], Gelzinis, A.[Adas],
Soft combination of neural classifiers: A comparative study,
PRL(20), No. 4, April 1999, pp. 429-444. BibRef 9904

Signahl, M.[Mikael], and Verikas, A.[Antanas],
Fuzzy Combination Schemes for Neural Networks,
SCIA97(xx-yy)
HTML Version. 9705
BibRef

Verikas, A., Bacauskiene, M.,
Feature selection with neural networks,
PRL(23), No. 11, September 2002, pp. 1323-1335.
Elsevier DOI 0206
BibRef

Bacauskiene, M., Verikas, A.,
Selecting salient features for classification based on neural network committees,
PRL(25), No. 16, December 2004, pp. 1879-1891.
WWW Link. 0411
BibRef

de Ridder, D., Duin, R.P.W., Verbeek, P.W., van Vliet, L.J.,
The Applicability of Neural Networks to Non-linear Image Processing,
PAA(2), No. 2, 1999, pp. 111-128. BibRef 9900

de Ridder, D., Duin, R.P.W., Verbeek, P.W., van Vliet, L.J.,
A Weight Set Decorrelating Algorithm for Neural Network Interpretation and Symmetry Breaking,
SCIA99(Neural Nets). BibRef 9900

Duin, R.P.W.[Robert P. W.], de Ridder, D.[Dick],
Neural network experiences between perceptrons and support vectors,
BMVC97(xx-yy).
HTML Version. 0209
BibRef

Kraaijveld, M.A., Duin, R.P.W.,
The effective capacity of multilayer feedforward network classifiers,
ICPR94(B:99-103).
IEEE DOI 9410
BibRef

Schmidt, W.F., Kraaijveld, M.A., Duin, R.P.W.,
Feedforward neural networks with random weights,
ICPR92(II:1-4).
IEEE DOI 9208
BibRef

Foody, G.M.[Giles M.],
The significance of border training patterns in classification by a feedforward neural network using back propagation learning,
JRS(20), No. 18, December 1999, pp. 3549. BibRef 9912

Varoglu, E., Hacioglu, K.,
Recurrent neural network speech predictor based on dynamical systems approach,
VISP(147), No. 2, April 2000, pp. 149. 0005
BibRef

Asari, K.V.[K. Vijayan], Eswaran, C.,
Bidirectional multiple-valued neural network for pattern recognition and associative recall,
IJIST(11), No. 2, 2000, pp. 125-129. 0008
BibRef

Wang, B.Y.[Bao-Yun], He, Z.Y.[Zhen-Ya],
Can the classification capability of network be further improved by using quadratic sigmoidal neurons?,
PR(33), No. 8, August 2000, pp. 1395-1399.
WWW Link. 0005
BibRef

Hungenahally, S., and Bhattacharya, P.,
A Computational Approach to the Emulation of Visual Neural Architectures,
KBES(2), No. 3, 1998, pp. 185-193. BibRef 9800

Micheli-Tzanakou, E.[Evangelia],
Supervised and Unsupervised Pattern Recognition: Feature Extraction and Computational Intelligence,
CRC PressJanuary 2000, ISBN 0-8493-2278-2. Review of current work. BibRef 0001

Chandra Kumar, P., Saratchandran, P., Sundararajan, N.,
Minimal radial basis function neural networks for nonlinear channel equalisation,
VISP(147), No. 5, October 2000, pp. 428-435. 0101
BibRef

Li, M.B., Huang, G.B., Saratchandran, P., Sundararajan, N.,
Complex-valued growing and pruning RBF neural networks for communication channel equalisation,
VISP(153), No. 4, August 2006, pp. 411-418.
WWW Link. 0705
BibRef

Zhang, G.P.,
Neural networks for classification: a survey,
SMC-C(30), No. 4, November 2000, pp. 451-462.
IEEE Top Reference. 0104
Survey, Neural Networks. BibRef

Murino, V., Vernazza, G.,
Artificial Neural Networks for Image Analysis and Computer Vision,
IVC(19), No. 9-10, August 2001, pp. 583-584.
WWW Link. 0108
Special Issue introduction. BibRef

Raudys, S.J.[Sarunas J.],
Statistical and Neural Classifiers: An Integrated Approach to Design,
Springer-VerlagNew York, 2001. ISBN 1-85233-297-2. BibRef 0100

Egmont-Petersen, M., de Ridder, D., Handels, H.,
Image processing with neural networks: A Review,
PR(35), No. 10, October 2002, pp. 2279-2301.
WWW Link. 0206
Survey, Neural Networks. 200 applications. BibRef

Ripley, B.D.,
Pattern Recognition and Neural Networks,
Cambridge University Press1996. BibRef 9600

Ripley, B.D.,
Spatial Statistics,
Wiley1981, New York. BibRef 8100

Behnke, S.,
Hierarchical neural networks for image interpretation,
Springer2003, ISBN 3540407227.
PDF File. BibRef 0300

Sussner, P.[Peter], Graņa, M.[Manuel],
Guest Editorial: Special Issue on Morphological Neural Networks,
JMIV(19), No. 2, September 2003, pp. 79-80.
DOI Link 0308
BibRef

Foresti, G.L., Dolso, T.,
An Adaptive High-Order Neural Tree for Pattern Recognition,
SMC-B(34), No. 2, April 2004, pp. 988-996.
IEEE Abstract. 0404
BibRef

Foresti, G.L., Christian, M., Snidaro, L.,
Adaptive high order neural trees for pattern recognition,
ICPR02(II: 877-880).
IEEE DOI 0211
BibRef

Rani, A.[Asha], Foresti, G.L.[Gian Luca], Micheloni, C.[Christian],
A neural tree for classification using convex objective function,
PRL(68, Part 1), No. 1, 2015, pp. 41-47.
Elsevier DOI 1512
Neural tree BibRef

Oh, K.S.[Kyoung-Su], Jung, K.C.[Kee-Chul],
GPU implementation of neural networks,
PR(37), No. 6, June 2004, pp. 1311-1314.
WWW Link. 0405
Graphics Processing Unit implementation of NN. BibRef

Wang, Z.B.[Zhao-Bin], Ma, Y.[Yide], Cheng, F.Y.[Fei-Yan], Yang, L.Z.[Li-Zhen],
Review of pulse-coupled neural networks,
IVC(28), No. 1, Januray 2010, pp. 5-13.
Elsevier DOI 1001
Pulse-coupled neural networks (PCNN); Image processing; Artificial neural network BibRef

Ma, Y.[Yide], Liu, L.[Li], Zhan, K.[Kun], Wu, Y.Q.[Yong-Qing],
Pulse-coupled neural networks and one-class support vector machines for geometry invariant texture retrieval,
IVC(28), No. 11, November 2010, pp. 1524-1529.
Elsevier DOI 1008
Pulse-coupled neural network (PCNN); Intersecting cortical model (ICM); Texture retrieval; Support vector machine (SVM); Feature extraction BibRef

Bengio, S.[Samy], Deng, L.[Li], Larochelle, H.[Hugo], Lee, H.L.[Hong-Lak], Salakhutdinov, R.[Ruslan],
Guest Editors' Introduction: Special Section on Learning Deep Architectures,
PAMI(35), No. 8, 2013, pp. 1795-1797.
IEEE DOI 1307
Computer architecture; Data mining; Data models; Learning systems; Neural networks; Signal processing algorithms; Special issues and sections BibRef

Bhattacharyya, S.[Siddhartha], Maulik, U.[Ujjwal],
Soft Computing for Image and Multimedia Data Processing,

Springer2013. ISBN 978-3-642-40254-8.
WWW Link. 1404
BibRef

Zhang, Y.N.[Yu-Nong], Yin, Y.H.[Yong-Hua], Guo, D.S.[Dong-Sheng], Yu, X.T.[Xiao-Tian], Xiao, L.[Lin],
Cross-validation based weights and structure determination of Chebyshev-polynomial neural networks for pattern classification,
PR(47), No. 10, 2014, pp. 3414-3428.
Elsevier DOI 1406
Cross validation BibRef

Zhang, H.[Hui], Liu, Y.[Yi], Xie, B.[Bojun], Yu, J.[Jian],
Spatially constrained sparse coding scheme for natural scene categorization,
JVCIR(28), No. 1, 2015, pp. 28-35.
Elsevier DOI 1503
BibRef
Earlier:
A boosting approach to learning receptive fields for scene categorization,
ICIP13(265-269)
IEEE DOI 1402
Scene categorization. Accuracy BibRef

Ranzato, M.[Marc'Aurelio], Hinton, G.[Geoffrey], Le Cun, Y.L.[Yann L.],
Guest Editorial: Deep Learning,
IJCV(113), No. 1, May 2015, pp. 1-2.
Springer DOI 1506
BibRef

Romero, A.[Adriana], Radeva, P., Gatta, C.[Carlo],
Meta-Parameter Free Unsupervised Sparse Feature Learning,
PAMI(37), No. 8, August 2015, pp. 1716-1722.
IEEE DOI 1507
Encoding BibRef

Romero, A.[Adriana], Gatta, C.[Carlo],
Do We Really Need All These Neurons?,
IbPRIA13(460-467).
Springer DOI 1307
Restricted Boltzmann Machines (RBMs) are generative neural networks. BibRef

van der Velde, F.[Frank],
Computation and dissipative dynamical systems in neural networks for classification,
PRL(64), No. 1, 2015, pp. 44-52.
Elsevier DOI 1509
Classification BibRef


Xiang, Y.[Yande], Meng, J.[Jianyi], Ma, D.[De],
A load balanced mapping for spiking neural network,
ICIVC17(899-903)
IEEE DOI 1708
Acceleration, Biology, Handwriting recognition, Neural networks, Quality of service, Sociology, Statistics, NoC, execution time, neural mapping, spiking neural network (SNN). BibRef

Handa, A.[Ankur], Bloesch, M.[Michael], Patraucean, V.[Viorica], Stent, S.[Simon], McCormac, J.[John], Davison, A.[Andrew],
gvnn: Neural Network Library for Geometric Computer Vision,
DeepLearn16(III: 67-82).
Springer DOI 1611
Code, Neural Networks. BibRef

Nguyen, A.[Anh], Clune, J.[Jeff], Bengio, Y.[Yoshua], Dosovitskiy, A.[Alexey], Yosinski, J.[Jason],
Plug & Play Generative Networks: Conditional Iterative Generation of Images in Latent Space,
CVPR17(3510-3520)
IEEE DOI 1711
Feature extraction, Generators, Image resolution, Neurons, Plugs, Probabilistic logic, Training BibRef

Nguyen, A.[Anh], Yosinski, J.[Jason], Clune, J.[Jeff],
Deep neural networks are easily fooled: High confidence predictions for unrecognizable images,
CVPR15(427-436)
IEEE DOI 1510
BibRef

Ben Othman, I.[Ibtissem], Ghorbel, F.[Faouzi],
Stability evaluation of neural and Bayesian classifiers: A new insight,
ICIP14(4314-4317)
IEEE DOI 1502
Artificial neural networks BibRef

Wu, F.[Fuke], Hu, S.G.[Shi-Geng],
Robust stability with general decay rate for stochastic neural networks with unbounded time-varying delays,
ICARCV12(753-758).
IEEE DOI 1304
BibRef

Karan, S., Majumder, D.D.,
Cognitive Quantum Number: The Logic for Nano Scale Information Processing in Minds and Machines,
NCVPRIPG11(183-186).
IEEE DOI 1205
BibRef

Madani, K.[Kurosh],
Artificial Neural Networks Based Image Processing and Pattern Recognition: From Concepts to Real-World Applications,
IPTA08(1-9).
IEEE DOI 0811
BibRef

Besdok, E.[Erkan],
Neurovision with Resilient Neural Networks,
Visual07(438-444).
Springer DOI 0706
BibRef

Giraudo, M.T.[Maria Teresa], Sacerdote, L.[Laura], Sicco, A.[Alessandro],
Ghost Stochastic Resonance for a Neuron with a Pair of Periodic Inputs,
BVAI07(398-407).
Springer DOI 0710
BibRef

Zanetti, B., Noriakilde, A., Saito, J.H.,
A Framework for Neural Networks Simulation and Visualization: Neocognitron Case,
ICIP05(III: 485-488).
IEEE DOI 0512
BibRef

Banarer, V.[Vladimir], Perwass, C.[Christian], Sommer, G.[Gerald],
Design of a Multilayered Feed-Forward Neural Network Using Hypersphere Neurons,
CAIP03(571-578).
Springer DOI 0311
BibRef

Silvestre, M.R., Ling, L.L.[Lee Luan],
Optimization of neural classifiers based on Bayesian decision boundaries and idle neurons pruning,
ICPR02(III: 387-390).
IEEE DOI 0211
BibRef

Li, Y.L.[Yan-Lai], Wang, K.Q.[Kuan-Quan], Zhang, D.,
Step acceleration based training algorithm for feedforward neural networks,
ICPR02(II: 84-87).
IEEE DOI 0211
BibRef

Toh, K.A.[Kar-Ann], Mao, K.Z.,
A global transformation approach to RBF neural network learning,
ICPR02(II: 96-99).
IEEE DOI 0211
BibRef

Grim, J., Pudil, P., Somol, P.,
Boosting in probabilistic neural networks,
ICPR02(II: 136-139).
IEEE DOI 0211
BibRef

Cardot, H., Lezoray, O.,
Graph of neural networks for pattern recognition,
ICPR02(II: 873-876).
IEEE DOI 0211
BibRef

Feiden, D., Tetzlaff, R.,
Iterative Annealing: a New Efficient Optimization Method for Cellular Neural Networks,
ICIP01(I: 549-552).
IEEE DOI 0108
BibRef

di Bona, S., Salvetti, O.,
An Efficient Method to Map a Regular Mesh Into a 3d Neural Network,
ICIP01(I: 529-532).
IEEE DOI 0108
BibRef

Guoyin, W.[Wang],
Triple- or Multiple-Valued Logical Rule Generation from Neural Network,
ICPR98(ATP1). 9808
BibRef

Eigenmann, R., Nossek, J.A.,
Modification of Hard-Limiting Multilayer Neural Networks for Confidence Evaluation,
ICDAR97(1087-1091).
IEEE DOI 9708
BibRef
Earlier:
Constructive and Robust Combination of Perceptrons,
ICPR96(IV: 195-199).
IEEE DOI 9608
(Technical Univ. of Munich, D) BibRef

Utschick, W., Nossek, J.A.,
Bayesian Adaptation of Hidden Layers in Boolean Feedforward Neural Networks,
ICPR96(IV: 229-233).
IEEE DOI 9608
(Technical Univ. of Munich, D) BibRef

Lampinen, J.[Jouko], and Selonen, A.[Arto],
Using Background Knowledge in Multilayer Perceptron Learning,
SCIA97(xx-yy)
HTML Version. 9705
BibRef

Sardo, L., Kittler, J.V.[Josef V.],
Model Complexity Validation for PDF Estimation Using Gaussian Mixtures,
ICPR98(Vol I: 195-197).
IEEE DOI 9808
BibRef
Earlier:
Minimum Complexity PDF Estimation for Correlated Data,
ICPR96(II: 750-754).
IEEE DOI 9608
BibRef
And:
Complexity analysis of RBF networks for Pattern Recognition,
CVPR96(574-579).
IEEE DOI (Univ. of Surrey, UK) BibRef

Paik, J.H.[Jong-Hyun], Cho, S.B.[Sung-Bae], Lee, K.Y.[Kwan-Yong], Lee, Y.B.[Yill-Byung],
Multiple Recognizers System Using Two Stage Combinations,
ICPR96(IV: 581-585).
IEEE DOI 9608
(Yonsei Univ., KOR) BibRef

Ritter, G., Sussner, P.,
An Introduction to Morphological Neural Networks,
ICPR96(IV: 709-717).
IEEE DOI 9608
(Univ. of Florida, USA) BibRef

Song, H.H., Lee, S.W.,
A New Recurrent Neural Network Architecture for Pattern Recognition,
ICPR96(IV: 718-722).
IEEE DOI 9608
(Korea Univ., KOR) BibRef

Kuncheva, L.I.[Ludmila I.], Hadjitodorov, S.,
An RBF Network with Tunable Function Shape,
ICPR96(IV: 645-649).
IEEE DOI 9608
(Imperial College of Science, UK) BibRef

Bayro-Corrochano, E., Buchholz, S., Sommer, G.,
A New Self-Organizing Neural Network Using Geometric Algebra,
ICPR96(IV: 555-559).
IEEE DOI 9608
(Christian Albrechts Univ., D) BibRef

Stoyanov, I.,
An Improved Backpropagation Neural Network Learning,
ICPR96(IV: 586-588).
IEEE DOI 9608
(Bulgarian Academy of Sciences, BG) BibRef

Wang, S., Zhu, X., Jin, Y.,
Multiple Experts Recognition System Based on Neural Network,
ICPR96(IV: 452-456).
IEEE DOI 9608
(Tshinghua Univ., PRC) BibRef

Vriesenga, M., Sklansky, J.,
Neural Modeling of Piecewise Linear Classifiers,
ICPR96(IV: 281-285).
IEEE DOI 9608
(Univ. of California, Irvine, USA) BibRef

Holmstroem, L., Oja, E., Koistinen, P., Laaksonen, J.T.,
Neural Network and Statistical Perspectives of Classification,
ICPR96(IV: 286-290).
IEEE DOI 9608
(Helsinki Univ. of Technology, SF) BibRef

Hamamoto, Y., Mitani, Y., Ishihara, H., Hase, T., Tomita, S.,
Evaluation of an Anti-Regularization Technique in Neural Networks,
ICPR96(IV: 205-208).
IEEE DOI 9608
(Yamaguchi Univ., J) BibRef

Chen, C.H., Jozwik, A.,
On the Small-Sample Behavior of the Class-Sensitive Neural Network,
ICPR96(IV: 209-213).
IEEE DOI 9608
(Univ. of Massachusetts, USA) BibRef

Bachelder, I.A.[Ivan A.], Gove, A.N.[Alan N.], Seibert, M.C.[Michael C.], and Waxman, A.M.[Allen M.],
From Learning Objects to Learning Environments: Biological and Computational Neural Systems,
ARPA94(II:871-883). BibRef 9400

Chapter on Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms continues in
Neural Networks Combinations and Evaluations .


Last update:Nov 18, 2017 at 20:56:18