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
BibRef
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
BibRef
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
BibRef
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
BibRef
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
BibRef
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
BibRef
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
BibRef
Wallis, G.,
Using Spatiotemporal Correlations to Learn Invariant Object Recognition,
NeurNet(9), No. 9, December 1996, pp. 1513-1519.
9701
BibRef
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
BibRef
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
BibRef
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
BibRef
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
BibRef
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
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 .