14.5.10.9 Neural Networks Applied to Specific Problems

Chapter Contents (Back)
Neural Networks.
See also Recurrent Neural Networks for Shapes and Complex Features, RNN.

Gupta, L.[Lalit], Upadhye, A.M.[Anand M.], Denby, B.[Bruce], Amendolia, S.R.[Salvator R.], Grieco, G.[Giovanni],
Neural network trigger algorithms for heavy quark event selection in a fixed target high energy physics experiment,
PR(25), No. 4, April 1992, pp. 413-421.
Elsevier DOI 0401
BibRef

Stewart, C.V.[Clayton V.], Lu, Y.C.[Yi-Chuan], Larson, V.[Victor],
A Neural Clustering Approach for High-Resolution Radar Target Classification,
PR(27), No. 4, April 1994, pp. 503-513.
Elsevier DOI BibRef 9404

Alippi, C.[Cesare],
Real-Time Analysis of Ships in Radar Images with Neural Networks,
PR(28), No. 12, December 1995, pp. 1899-1913.
Elsevier DOI BibRef 9512

Blonda, P., Bennardo, A., Satalino, G., Pasquariello, G.,
Fuzzy-Logic and Neural Techniques Integration: An Application to Remotely-Sensed Data,
PRL(17), No. 13, November 25 1996, pp. 1343-1348. 9701
Remote Sensing. BibRef

Hasegawa, A., Itoh, K., Ichioka, Y.,
Generalization of Shift-Invariant Neural Networks: Image-Processing of Corneal Endothelium,
NeurNet(9), No. 2, March 1996, pp. 345-356. BibRef 9603

Zhao, Q., Bao, Z.,
Radar Target Recognition Using a Radial Basis Function Neural-Network,
NeurNet(9), No. 4, June 1996, pp. 709-720. 9607
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Christensen, S.S., Andersen, A.W., Jorgensen, T.M., Liisberg, C.,
Visual Guidance of a Pig Evisceration Robot Using Neural Networks,
PRL(17), No. 4, April 4 1996, pp. 345-355. 9605
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Hakulinen, A., Hakkarainen, J.,
A Neural-Network Approach to Quality-Control of Padlock Manufacturing,
PRL(17), No. 4, April 4 1996, pp. 357-362. 9605
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Jorgensen, T.M., Christensen, S.S., Andersen, A.W.,
Detecting Danger Labels with RAM-Based Neural Networks,
PRL(17), No. 4, April 4 1996, pp. 399-412. 9605
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Wells, G.[Gordon], Venaille, C.[Christophe], Torras, C.[Carme],
Promising Research: Vision-Based Robot Positioning Using Neural Networks,
IVC(14), No. 10, December 1996, pp. 715-732.
Elsevier DOI 9612
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Khotanzad, A., Liou, J.J.H.,
Recognition and Pose Estimation of Unoccluded 3-Dimensional Objects from a 2-Dimensional Perspective View by Banks of Neural Networks,
TNN(7), No. 4, July 1996, pp. 897-906. 9608
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Demartines, P., Herault, J.,
Curvilinear Component Analysis: A Self-Organizing Neural-Network for Nonlinear Mapping of Data Sets,
TNN(8), No. 1, January 1997, pp. 148-154. 9701
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Wallis, G.,
Using Spatiotemporal Correlations to Learn Invariant Object Recognition,
NeurNet(9), No. 9, December 1996, pp. 1513-1519. 9701
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Benediktsson, J.A., Sveinsson, J.R.,
Feature-Extraction for Multisource Data Classification with Artificial Neural Networks,
JRS(18), No. 4, March 10 1997, pp. 727-740. 9703
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Kaminsky, E.J., Barad, H., Brown, W.,
Textural Neural Network and Version Space Classifiers for Remote Sensing,
JRS(18), No. 4, March 10 1997, pp. 741-762. 9703
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Chen, K.S., Yen, S.K., Tsay, D.W.,
Neural Classification of SPOT Imagery Through Integration of Intensity and Fractal Information,
JRS(18), No. 4, March 10 1997, pp. 763-&. 9703
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Murai, H., Omatu, S.,
Remote Sensing Image Analysis Using a Neural Network and Knowledge Based Processing,
JRS(18), No. 4, March 10 1997, pp. 811-828. 9703
BibRef

Carpenter, G.A., Gjaja, M.N., Gopal, S., Woodcock, C.E.,
ART Neural Networks for Remote Sensing: Vegetation Classification from Landsat TM and Terrain Data,
GeoRS(35), No. 2, March 1997, pp. 308-325.
IEEE Top Reference. 9704
BibRef

Carpenter, G.A.,
A neural network method for mixture estimation for vegetation mapping,
RSE(70), No. 2, 1999, pp. 152-166. 9911
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Babu, G.P.,
Self-Organizing Neural Networks for Spatial Data,
PRL(18), No. 2, February 1997, pp. 133-142. 9704
BibRef

Zhang, X.H., Li, C., Yuan, Y.L.,
Application of Neural Networks to Identifying Vegetation Types from Satellite Images,
AIApp(11), No. 3, 1997, pp. 99-106. 9802
BibRef

Favela, J., Torres, J.,
A 2-Step Approach to Satellite Image Classification Using Fuzzy Neural Networks and the ID3 Learning Algorithm,
ExSysApp(14), No. 1-2, January/February 1998, pp. 211-218. 9805
BibRef

Giacinto, G., Paolucci, R., Roli, F.,
Application of Neural Networks and Statistical Pattern Recognition Algorithms to Earthquake Risk Evaluation,
PRL(18), No. 11-13, November 1997, pp. 1353-1362. 9806
BibRef

Kaur, D., Brownell, D.,
Associative RAM-Net Memory Neural Target Classifier,
OptEng(37), No. 7, July 1998, pp. 2043-2054. 9808
BibRef

Rabi, G., Lu, S.W.,
Visual Speech Recognition by Recurrent Neural Networks,
JEI(7), No. 1, January 1998, pp. 61-69. 9807
BibRef

Ng, G.S., Sim, H.C.,
Recognition of Partially Occluded Objects with Backpropagation Neural-Network,
PRAI(12), No. 5, August 1998, pp. 645-660. 9809
BibRef

Wöhler, C.[Christian], Anlauf, J.K.[Joachim K.],
An Adaptable Time-Delay Neural Network Algorithm for Image Sequence Analysis,
TNN(10), No. 6, November 1999, pp. 1531-1536. BibRef 9911

Wöhler, C.[Christian], Anlauf, J.K.[Joachim K.],
A Time Delay Neural Network Algorithm for Estimating Image-Pattern Shape and Motion,
IVC(17), No. 3/4, March 1999, pp. 281-294.
Elsevier DOI
See also Real-time object recognition on image sequences with the adaptable time delay neural network algorithm applications for autonomous vehicles. BibRef 9903

Laghari, M.S., Boujarwah, A.,
Wear Particle Texture Classification Using Artificial Neural Networks,
PRAI(13), No. 3, May 1999, pp. 415. BibRef 9905

Baskaran, S.[Subbiah], Ramachandran, N.[Narayanan], Noever, D.[David],
Probabilistic and Other Neural Nets in Multi-Hole Probe Calibration and Flow Angularity Pattern Recognition,
PAA(2), No. 1, 1999, pp. 92-98. BibRef 9900

Clark, C., Boyce, J.,
The detection of ship trail clouds by artificial neural network,
JRS(20), No. 4, March 1999, pp. 711. BibRef 9903

Dumitras, A., Kossentini, F.,
High-order image subsampling using feedforward artificial neural networks,
IP(10), No. 3, March 2001, pp. 427-435.
IEEE DOI 0001
BibRef

Dumitras, A., Kossentini, F.,
Efficient High-order Image Subsampling Using FANNS,
ICIP00(Vol III: 316-319).
IEEE DOI 0008
BibRef

Dumitras, A., Kossentini, F.,
Fast and High Performance Image Subsampling Using Feedforward Neural Networks,
IP(9), No. 4, April 2000, pp. 720-728.
IEEE DOI 0004
BibRef

Selvi, S.T.[S. Thamarai], Arumugam, S., Ganesan, L.,
BIONET: an artificial neural network model for diagnosis of diseases,
PRL(21), No. 6-7, June 2000, pp. 721-740. 0006
BibRef

Rishikesh, N., Venkatesh, Y.V.,
Shape recognition using an invariant pulse code and a hierarchical, competitive neural network,
PR(34), No. 4, April 2001, pp. 841-853.
Elsevier DOI 0101
BibRef

Yang, S.X., Meng, M.,
Neural network approaches to dynamic collision-free trajectory generation,
SMC-B(31), No. 3, June 2001, pp. 302-318.
IEEE Top Reference. 0108
BibRef

Ratajewicz-Mikolajczak, E., Sikora, J.,
Neural networks method for identification of the objects behind the screen,
MedImg(21), No. 6, June 2002, pp. 613-619.
IEEE Top Reference. 0208
BibRef

Woo, W.L., Sali, S.,
General multilayer perceptron demixer scheme for nonlinear blind signal separation,
VISP(149), No. 5, October 2002, pp. 253-262.
IEEE Top Reference. 0304
BibRef

Arriaza, J.A.T., Rojas, F.G., Lopez, M.P., Canton, M.,
An automatic cloud-masking system using backpro neural nets for AVHRR scenes,
GeoRS(41), No. 4, April 2003, pp. 826-831.
IEEE Abstract. 0307
BibRef

Arriaza, J.A.T., Rojas, F.G., Lopez, M.P., Canton, M.,
Competitive neural-net-based system for the automatic detection of oceanic mesoscalar structures on AVHRR scenes,
GeoRS(41), No. 4, April 2003, pp. 845-852.
IEEE Abstract. 0307
BibRef

Coppini, G.[Giuseppe], Diciotti, S.[Stefano], Valli, G.[Guido],
Matching of medical images by self-organizing neural networks,
PRL(25), No. 3, February 2004, pp. 341-352.
Elsevier DOI 0401
BibRef

Chen, J.[Jian], Lin, S.[Song],
A neural network approach-decision neural network (DNN) for preference assessment,
SMC-C(34), No. 2, May 2004, pp. 219-225.
IEEE Abstract. 0407
BibRef

Xia, Y.S., Feng, G.[Gang], Wang, J.[Jun],
A primal-dual neural network for online resolving constrained kinematic redundancy in robot motion control,
SMC-B(35), No. 1, February 2005, pp. 54-64.
IEEE Abstract. 0501
BibRef

Zhang, C.L.[Chun-Lin], Jiang, J.[Ju], Kamel, M.[Mohamed],
Intrusion detection using hierarchical neural networks,
PRL(26), No. 6, 1 May 2005, pp. 779-791.
Elsevier DOI 0501
BibRef

Hu, X., Wang, J.,
Design of General Projection Neural Networks for Solving Monotone Linear Variational Inequalities and Linear and Quadratic Optimization Problems,
SMC-B(37), No. 5, October 2007, pp. 1414-1421.
IEEE DOI 0711
BibRef

Lee, C.H.[Ching-Hung], Chang, F.Y.[Feng-Yu], Lin, C.M.[Chih-Min],
An Efficient Interval Type-2 Fuzzy CMAC for Chaos Time-Series Prediction and Synchronization,
Cyber(44), No. 3, March 2014, pp. 329-341.
IEEE DOI 1404
CMAC: cerebellar model articulation controller. Lyapunov methods BibRef


Li, M.[Ming], Wang, L.M.[Li-Min], Liu, Y.[Yang], Liu, Y.[Ying], Sun, Q.[Qian], Han, X.M.[Xu-Ming],
An Improved OIF Elman Neural Network Model with Direction Profit Factor and Its Applications,
ICMV09(208-211).
IEEE DOI 0912
BibRef

Song, J.L.[Jun-Lei], Wang, D.H.[Dian-Hong], Liu, N.J.[Nian-Jun], Cheng, L.[Li], Du, L.[Lan], Zhang, K.[Ke],
Soil Moisture Prediction with Feature Selection Using a Neural Network,
DICTA08(130-136).
IEEE DOI 0812
BibRef

Stuart, I.[Ian], Cha, S.H.[Sung-Hyuk], Tappert, C.[Charles],
A Neural Network Classifier for Junk E-Mail,
DAS04(442-450).
Springer DOI 0505
BibRef

Mizukami, Y., Wakasa, Y., Tanaka, K.,
A proposal of neural network architecture for non-linear function approximation,
ICPR04(IV: 605-608).
IEEE DOI 0409
BibRef

Debiolles, A., Oukhellou, L., Aknin, P.,
Combined use of partial least squares regression and neural network for diagnosis tasks,
ICPR04(IV: 573-576).
IEEE DOI 0409
BibRef

Sopena, J.M., Alegre, M.A.,
ANNP: a neural network parser for real world texts,
ICPR00(Vol II: 969-972).
IEEE DOI 0403
BibRef

Barrdez, D., Garcia-Salicetti, S., Dorizzi, B., Padron, M., Ramos, E.,
Modular neural networks for seismic tomography,
ICPR02(III: 407-410).
IEEE DOI 0211
BibRef

Raglin, A., Vorontsov, M., Chouikha, M.,
Winner take all in a large array of opto-electronic feedback circuits for image processing,
ICIP02(II: 349-352).
IEEE DOI 0210
BibRef

Christodoulou, C.I., Michaelides, S.C., Pattichis, C.S., Kyriakou, K.,
Classification of Satellite Cloud Imagery Based on Multi-feature Texture Analysis and Neural Networks,
ICIP01(I: 497-500).
IEEE DOI 0108
BibRef

Markou, M., Singh, S., Sharma, M.,
Neural network analysis of MINERVA scene analysis benchmark,
CIAP01(267-272).
IEEE DOI 0210
BibRef

Mielikäinen, J.[Jarno], Koskinen, I.[Ilkka], Handroos, H.[Heikki], Toivanen, P.J.[Pekka J.], Kälviäinen, H.[Heikki],
Positioning of Flexible Boom Structure Using Neural Networks,
CAIP01(435 ff.).
Springer DOI 0210
BibRef

Raducanu, B., Grana, M.,
On the Application of Morphological Heteroassociative Neural Networks,
ICIP01(I: 501-504).
IEEE DOI 0108
BibRef

Lai, P.L., Chuang, S.J., Fyfe, C.,
Power Load Forecasting Using Neural Canonical Correlates,
ICPR00(Vol II: 455-458).
IEEE DOI 0009
BibRef

Jain, A.[Ashu], Joshi, U.C., Varshney, A.K.,
Short-term Water Demand Forecasting Using Artificial Neural Networks: Iit Kanpur Experience,
ICPR00(Vol II: 459-462).
IEEE DOI 0009
BibRef

Torras, C.,
Neuroadaptive Robots,
ICPR00(Vol II: 172-177).
IEEE DOI 0009
BibRef

Koprinska, I., Kasabov, N.,
Evolving Fuzzy Neural Network for Camera Operations Recognition,
ICPR00(Vol II: 523-526).
IEEE DOI 0009
BibRef

Podolak, I.T., Lee, S.W.[Seong-Whan], Bielecki, A., Majkut, E.,
A Hybrid Neural System for Phonematic Transformation,
ICPR00(Vol II: 957-960).
IEEE DOI 0009
BibRef

Ugena, A., de Arriaga, F., El Alami, M.,
Speaker-independent Speech Recognition by Means of Functional-link Neural Networks,
ICPR00(Vol II: 1018-1021).
IEEE DOI 0009
BibRef

Zeng, N., Taniguchi, K.,
Evaluating the Quality of Pellet Component by Using Image Processing Technique with Neural Networks,
ICIP00(Vol III: 340-343).
IEEE DOI 0008
BibRef

Yuan, C., Niemann, H.,
An Appearance Based Neural Image Processing Algorithm for 3-d Object Recognition,
ICIP00(Vol III: 344-347).
IEEE DOI 0008
BibRef

Cheng, X.Y., Akiyama, I., Itoh, K., Wang, Y., Taniguchi, N., and Nakajima, M.,
Automated Detection of Breast Tumors in Ultrasonic Images Using Fuzzy Reasoning,
ICIP97(III: 420-423).
IEEE DOI BibRef 9700

Littmann, E., Neumann, H., Pessoa, L.,
Nonlinear Interaction of on and off Data Streams for the Detection of Visual Structure,
ICPR96(IV: 540-544).
IEEE DOI 9608
(Univ. of Ulm, D) BibRef

Day, M., Payne, J.,
The Generation of Motion Kinematics Using a Time-Delay Neural Network,
ICPR96(IV: 545-549).
IEEE DOI 9608
(Buckinghamshire College, UK) BibRef

Webb, A.R., Garner, P.N.,
Source Position Estimation Using Radial Basis Functions,
ICPR96(IV: 3-7).
IEEE DOI 9608
(Defence Research Agency, UK) BibRef

Kuhnert, K.,
A Multisensor Recognition System for Sorting Post-Consumer Goods Using Image Processing and Neural Networks,
ICPR96(D70.3). 9608
(Univ. of Siegen, D) BibRef

Stocker, A., Sipilae, O., Visa, A., Salonen, O., Katila, T.,
Stability Study of Some Neural Networks Applied to Tissue Characterization of Brian Magnetic Resonance Images,
ICPR96(IV: 472-476).
IEEE DOI 9608
(Swiss Federal Institute of Technology, CH) BibRef

Naftaly, U., Ginzburg, I., Horn, D., Intrator, N.,
Averaged and decorrelated neural networks as a time-series predictor,
ICPR94(B:429-432).
IEEE DOI 9410
BibRef

Kuncheva, L.I., Mitra, S.,
A two-level classification scheme trained by a fuzzy neural network,
ICPR94(B:467-469).
IEEE DOI 9410
BibRef

Nissan, E., Siegelmann, H., Galperin, A.,
An integrated symbolic and neural network architecture for machine learning in the domain of nuclear engineering,
ICPR94(B:494-496).
IEEE DOI 9410
BibRef

Clark, C., Canas, T., Clark, A.,
Determination of ozone temperature by neural network,
ICPR94(B:547-549).
IEEE DOI 9410
BibRef

Chapter on Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms continues in
Binary Neural Networks, BNN .


Last update:Mar 16, 2024 at 20:36:19