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ORCIDIEEE Transactions on Neural Networks, Volume 4
Volume 4, Number 1, January 1993
- Sidney S. Fels
, Geoffrey E. Hinton:
Glove-Talk: a neural network interface between a data-glove and a speech synthesizer. 2-8 - Michael J. Healy, Thomas P. Caudell, Scott D. G. Smith:
A neural architecture for pattern sequence verification through inferencing. 9-20 - Raymond L. Watrous:
Speaker normalization and adaptation using second-order connectionist networks. 21-30 - Dit-Yan Yeung, George A. Bekey:
On reducing learning time in context-dependent mappings. 31-42 - Toshimichi Saito, Masami Oikawa:
Chaos and fractals from a forced artificial neural cell. 43-52 - Michele Marchesi, Gianni Orlandi, Francesco Piazza, Aurelio Uncini:
Fast neural networks without multipliers. 53-62 - Snehasis Mukhopadhyay, Kumpati S. Narendra:
Disturbance rejection in nonlinear systems using neural networks. 63-72 - Yagyensh C. Pati, Perinkulam S. Krishnaprasad:
Analysis and synthesis of feedforward neural networks using discrete affine wavelet transformations. 73-85 - Jörg A. Walter, Klaus Schulten:
Implementation of self-organizing neural networks for visuo-motor control of an industrial robot. 86-96 - B. S. Manjunath, Rama Chellappa:
A unified approach to boundary perception: edges, textures, and illusory contours. 96-108 - Esther Levin:
Hidden control neural architecture modeling of nonlinear time varying systems and its applications. 109-116 - Amir F. Atiya, Yaser S. Abu-Mostafa:
An analog feedback associative memory. 117-126 - Donald L. Birx, Stephen J. Pipenberg:
A complex mapping network for phase sensitive classification. 127-135 - Jacques de Villiers, Etienne Barnard:
Backpropagation neural nets with one and two hidden layers. 136-141 - Raghu Krishnapuram, Ling-Fan Chen:
Implementation of parallel thinning algorithms using recurrent neural networks. 142-147 - Giuseppe Martinelli, Fabio Massimo Frattale Mascioli, G. Bei:
Cascade neural network for binary mapping. 148-150 - Ferdinand Peper, Mehdi N. Shirazi, Hideki Noda:
A noise suppressing distance measure for competitive learning neural networks. 151-153 - Renzo Perfetti:
Existence of binary invariant sets in feedback neural networks with application to synthesis. 153-156 - Jyh-Shing Roger Jang, Chuen-Tsai Sun:
Functional equivalence between radial basis function networks and fuzzy inference systems. 156-159 - Alessandro De Gloria, Paolo Faraboschi, Mauro Olivieri:
Efficient implementation of the Boltzmann machine algorithm. 159-163 - Mu-Song Chen, Michael T. Manry:
Conventional modeling of the multilayer perceptron using polynomial basis functions. 164-166
Volume 4, Number 2, March 1993
- Ji-Chien Lee, Bing J. Sheu, Wai-Chi Fang, Rama Chellappa:
VLSI neuroprocessors for video motion detection. 178-191 - Asriel U. Levin, Kumpati S. Narendra:
Control of nonlinear dynamical systems using neural networks: controllability and stabilization. 192-206 - Zhen-Ping Lo, Yaoqi Yu, Behnam Bavarian:
Analysis of the convergence properties of topology preserving neural networks. 207-220 - Ronald A. Iltis, Pei-Yih Ting:
Computing association probabilities using parallel Boltzmann machines. 221-233 - Pingnan Shi, Rabab K. Ward:
OSNet: a neural network implementation of order statistic filters. 234-241 - Mahmood R. Azimi-Sadjadi, Sassan Sheedvash, Frank O. Trujillo:
Recursive dynamic node creation in multilayer neural networks. 242-256 - Jayanta Basak, C. A. Murthy, Santanu Chaudhury, Dwijesh Dutta Majumder:
A connectionist model for category perception: theory and implementation. 257-269 - Shigeo Sakaue, Toshiyuki Kohda, Hiroshi Yamamoto, Susumu Maruno, Yasuharu Shimeki:
Reduction of required precision bits for back-propagation applied to pattern recognition. 270-275 - Lilly Spirkovska, Max B. Reid:
Coarse-coded higher-order neural networks for PSRI object recognition. 276-283 - Jacob M. J. Murre:
Transputers and neural networks: an analysis of implementation constraints and performance. 284-292 - Abdesselam Bouzerdoum, Tim R. Pattison:
Neural network for quadratic optimization with bound constraints. 293-304 - Mark Plutowski, Halbert White:
Selecting concise training sets from clean data. 305-318 - William J. Wolfe, James M. MacMillan, George Brady, Robert Mathews, Jay A. Rothman, Donald Mathis, Michael Donald Orosz, Charlie Anderson, Gila Alaghband:
Inhibitory grids and the assignment problem. 319-331 - Alireza Khotanzad, Amol Bokil, Ying-Wung Lee:
Stereopsis by constraint learning feed-forward neural networks. 332-342 - Ron Shonkwiler:
Separating the vertices of N-cubes by hyperplanes and its application to artificial neural networks. 343-347 - Shawn P. Day, Michael R. Davenport:
Continuous-time temporal back-propagation with adaptable time delays. 348-354 - Kootala P. Venugopal, S. M. Smith:
Improving the dynamic response of neural network controllers using velocity reference feedback. 355-357 - Keun-Rong Hsieh, Wen-Tsuen Chen:
A neural network model which combines unsupervised and supervised learning. 357-360 - Trevor G. Clarkson, Yelin Guan, John G. Taylor, Denise Gorse:
Generalization in probabilistic RAM nets. 360-363 - Tzi-Dar Chiueh, Hung-Kai Tsai:
Multivalued associative memories based on recurrent networks. 364-366 - David R. Lovell, Ah Chung Tsoi, Tom Downs, Thomas H. Hildebrandt:
Comments on 'Optimal training of thresholded linear correlation classifiers' [with reply]. 367-369
Volume 4, Number 3, May 1993
- Takao Watanabe, Katsutaka Kimura, Masakazu Aoki, Takeshi Sakata, Kiyoo Ito:
A single 1.5-V digital chip for a 106 synapse neural network. 387-393 - John Wawrzynek, Krste Asanovic, Nelson Morgan:
The design of a neuro-microprocessor. 394-399 - Christian Lehmann, Marc Viredaz, François Blayo:
A generic systolic array building block for neural networks with on-chip learning. 400-407 - Trevor G. Clarkson, Chi Kwong Ng, Yelin Guan:
The pRAM: an adaptive VLSI chip. 408-412 - James Donald, Lex A. Akers:
An adaptive neural processing node. 413-426 - Harold J. Levy, Thomas C. McGill:
A feedforward artificial neural network based on quantum effect vector-matrix multipliers. 427-433 - Ronald G. Benson, Douglas A. Kerns:
UV-activated conductances allow for multiple time scale learning. 434-440 - John A. Lansner, Torsten Lehmann:
An analog CMOS chip set for neural networks with arbitrary topologies. 441-444 - Bernabé Linares-Barranco, Edgar Sánchez-Sinencio, Ángel Rodríguez-Vázquez, José L. Huertas:
A CMOS analog adaptive BAM with on-chip learning and weight refreshing. 445-455 - Damien Macq, Michel Verleysen, Paul G. A. Jespers, Jean-Didier Legat:
Analog implementation of a Kohonen map with on-chip learning. 456-461 - Yuping He, Ugur Çilingiroglu:
A charge-based on-chip adaptation Kohonen neural network. 462-469 - Jen-Dong Yuh, Robert W. Newcomb:
A multilevel neural network for A/D conversion. 470-483 - Joongho Choi, Sa Hyun Bang, Bing J. Sheu:
A programmable analog VLSI neural network processor for communication receivers. 484-495 - Takeshi Yamakawa:
A fuzzy inference engine in nonlinear analog mode and its application to a fuzzy logic control. 496-522 - John Lazzaro, John Wawrzynek, Misha Mahowald, Massimo Sivilotti, Dave Gillespie:
Silicon auditory processors as computer peripherals. 523-528 - Tobias Delbrück:
Silicon retina with correlation-based, velocity-tuned pixels. 529-541
Volume 4, Number 4, July 1993
- Nikhil R. Pal, James C. Bezdek, Eric Chen-Kuo Tsao:
Generalized clustering networks and Kohonen's self-organizing scheme. 549-557 - Thomas Martinetz, Stanislav G. Berkovich, Klaus Schulten:
'Neural-gas' network for vector quantization and its application to time-series prediction. 558-569 - Sheng Chen, Bernard Mulgrew, Peter M. Grant:
A clustering technique for digital communications channel equalization using radial basis function networks. 570-590 - Abraham Schultz:
Collective recall via the brain-state-in-a-box network. 580-587 - Bang W. Lee, Bing J. Sheu:
Paralleled hardware annealing for optimal solutions on electronic neural networks. 588-599 - Peter W. Protzel, Daniel L. Palumbo, Michael K. Arras:
Performance and fault-tolerance of neural networks for optimization. 600-614 - Heinrich Niemann, Jian-Kang Wu:
Neural network adaptive image coding. 615-627 - Mahdad Nouri Shirazi, Sadao Maekawa:
The capacity of associative memories with malfunctioning neurons. 628-635 - Lei Xu, Adam Krzyzak, Erkki Oja:
Rival penalized competitive learning for clustering analysis, RBF net, and curve detection. 636-649 - Vladimir Nedeljkovic:
A novel multilayer neural networks training algorithm that minimizes the probability of classification error. 650-659 - Mathukumalli Vidyasagar:
Location and stability of the high-gain equilibria of nonlinear neural networks. 660-672 - Donald C. Wunsch II, Thomas P. Caudell, C. David Capps, Robert J. Marks II, R. Aaron Falk:
An optoelectronic implementation of the adaptive resonance neural network. 673-684 - Richard E. Nordgren, Peter H. Meckl:
An analytical comparison of a neural network and a model-based adaptive controller. 685-694 - Jonathan S. Kane, Marc J. Paquin:
POPART: partial optical implementation of adaptive resonance theory 2. 695-702 - Josiane Zerubia, Rama Chellappa:
Mean field annealing using compound Gauss-Markov random fields for edge detection and image estimation. 703-709 - Wen-June Wang, Donq-Liang Lee:
A modified bidirectional decoding strategy based on the BAM structure. 710-717 - Robert E. Jenkins, Ben P. Yuhas:
A simplified neural network solution through problem decomposition: the case of the truck backer-upper. 718-720 - Osamu Fujita:
Trial-and-error correlation learning. 720-722 - Alan F. Murray, Peter J. Edwards:
Synaptic weight noise during multilayer perceptron training: fault tolerance and training improvements. 722-725
Volume 4, Number 5, September 1993
- Russell Reed:
Pruning algorithms-a survey. 740-747 - Francesco Palmieri, Jie Zhu, Chihua Chang:
Anti-Hebbian learning in topologically constrained linear networks: a tutorial. 748-761 - George K. Knopf, Madan M. Gupta:
A multipurpose neural processor for machine vision systems. 762-777 - N. K. Bose, Amulya K. Garga:
Neural network design using Voronoi diagrams. 778-787 - Martin D. Emmerson, Robert I. Damper:
Determining and improving the fault tolerance of multilayer perceptrons in a pattern-recognition application. 788-793 - Etienne Barnard, Elizabeth C. Botha:
Backpropagation uses prior information efficiently. 794-802 - Glenn E. Johnson:
Mimic nets. 803-815 - John Shawe-Taylor:
Symmetries and discriminability in feedforward network architectures. 816-826 - Chienchung Chang, Shankar Chatterjee:
Ranging through Gabor logons-a consistent, hierarchical approach. 827-843 - John A. Barnden, Kankanahalli Srinivas:
Temporal winner-take-all networks: a time-based mechanism for fast selection in neural networks. 844-853 - Su-Ling Lee, Shyang Chang:
Neural networks for routing of communication networks with unreliable components. 854-863 - Bai-Ling Zhang, Bing-Zheng Xu, Chung-Ping Kwong:
Performance analysis of the bidirectional associative memory and an improved model from the matched-filtering viewpoint. 864-872 - Bobby R. Hunt, Mariappan S. Nadar, Paul Keller, Eric VonColln, Anupam Goyal:
Synthesis of a nonrecurrent associative memory model based on a nonlinear transformation in the spectral domain. 873-878 - C. S. Leung:
Encoding method for bidirectional associative memory using projection on convex sets. 879-881 - Christopher M. Bishop:
Curvature-driven smoothing: a learning algorithm for feedforward networks. 882-884 - Satyendra Bhama, Harpreet Singh:
Single layer neural networks for linear system identification using gradient descent technique. 884-888
Volume 4, Number 6, November 1993
- Hervé Bourlard, Nelson Morgan:
Continuous speech recognition by connectionist statistical methods. 893-909 - Tianping Chen, Hong Chen:
Approximations of continuous functionals by neural networks with application to dynamic systems. 910-918 - Ahmet Karakasoglu, Subramania I. Sudharsanan, Malur K. Sundareshan:
Identification and decentralized adaptive control using dynamical neural networks with application to robotic manipulators. 919-930 - Walter E. Lillo, Mei Heng Loh, Stefen Hui, Stanislaw H. Zak:
On solving constrained optimization problems with neural networks: a penalty method approach. 931-940 - Mustafa K. Mehmet Ali, Faouzi Kamoun:
Neural networks for shortest path computation and routing in computer networks. 941-954 - Seth Wolpert, Evangelia Micheli-Tzanakou:
Silicon models of lateral inhibition. 955-961 - Rangachari Anand, Kishan G. Mehrotra, Chilukuri K. Mohan, Sanjay Ranka:
An improved algorithm for neural network classification of imbalanced training sets. 962-969 - Alain Pétrowski, Gérard Dreyfus, Claude Girault:
Performance analysis of a pipelined backpropagation parallel algorithm. 970-981 - Nader Sadegh:
A perceptron network for functional identification and control of nonlinear systems. 982-988 - Gavin J. Gibson:
A combinatorial approach to understanding perceptron capabilities. 989-992 - W. Chang, B. Bosworth, G. Clifford Carter:
Empirical results of using back-propagation neural networks to separate single echoes from multiple echoes. 993-995 - Teruyoshi Washizawa:
Application of Hopfield network to saccades. 995-997 - Shai Abramson, David Saad, Emanuel Marom:
Training a network with ternary weights using the CHIR algorithm. 997-1000
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