New Trends in Neural Computation: International Workshop on Artificial Neural Networks, IWANN '93 Sitges, Spain, June 9–11, 1993 Proceedings

Biophysics of neural computation....Pages 1-11
Integrated learning in rana computatrix....Pages 12-19
A model for centering visual stimuli through adaptive value learning....Pages 20-23
A model for the development of neurons selective to visual stimulus size....Pages 24-29
An invariant representation mechanism after presynaptic inhibition....Pages 30-36
The pancreatic B-cell as a voltage-controlled oscillator....Pages 37-42
Approximation of the solution of the dendritic cable equation by a small series of coupled differential equations....Pages 43-48
A neural network model inspired in global appreciations about the thalamic reticular nucleus and cerebral cortex connectivity....Pages 49-54
Towards more realistic self contained models of neurons: High-order, recurrence and local learning....Pages 55-62
McCulloch's neurons revisited....Pages 63-67
Biologically motivated approach to face recognition....Pages 68-77
Learning by reinforcement: A psychobiological model....Pages 78-83
A neural state machine for iconic language representation....Pages 84-89
Variable binding using serial order in recurrent neural networks....Pages 90-95
Region of influence (ROI) networks. Model and implementation....Pages 96-101
A node splitting algorithm that reduces the number of connections in a Hamming distance classifying network....Pages 102-107
A high order neural model....Pages 108-113
Higher-order networks for the optimization of block designs....Pages 114-118
Neural Bayesian classifier....Pages 119-124
Constructive methods for a new classifier based on a radial-basis-function neural network accelerated by a tree....Pages 125-130
Practical realization of a radial basis function network for handwritten digit recognition....Pages 131-136
Design of fully and partially connected random neural networks for pattern completion....Pages 137-142
Representation and recognition of regular grammars by means of second-order recurrent neural networks....Pages 143-148
Connectionist models for syllabic recognition in the time domain....Pages 149-154
Sparsely interconnected artificial neural networks for associative memories....Pages 155-160
Dynamic analysis of networks of neural oscillators....Pages 161-166
Optimised attractor neural networks with external inputs....Pages 167-172
Non-orthogonal bases and metric tensors: An application to artificial neural networks....Pages 173-178
Genetic synthesis of discrete-time recurrent neural network....Pages 179-184
Optimization of a competitive learning neural network by genetic algorithms....Pages 185-192
Adaptive models in neural networks....Pages 193-197
Self-organizing grammar induction using a neural network model....Pages 198-203
The role of forgetting in efficient learning strategies for self-organising discriminator-based systems....Pages 204-209
Simulation of stochastic regular grammars through simple recurrent networks....Pages 210-215
Local stochastic competition and vector quantization....Pages 216-222
MHC — An evolutive connectionist model for hybrid training....Pages 223-229
Fast-convergence learning algorithms for multi-level and binary neurons and solution of some image processing problems....Pages 230-236
Invariant object recognition using fahlman and Lebiere's learning algorithm....Pages 237-242
Realization of subjective correspondence in artificial neural network trained by Fahlman and Lebiere's learning algorithm....Pages 243-248
Bimodal distribution removal....Pages 249-254
A simplified ARTMAP architecture for real-time learning....Pages 255-260
B-Learning: A reinforcement learning algorithm, comparison with dynamic programming....Pages 261-266
Increased complexity training....Pages 267-271
Optimized learning for improving the evolution of piecewise linear separation incremental algorithms....Pages 272-277
A method of pruning layered feed-forward neural networks....Pages 278-283
Tests of different regularization terms in small networks....Pages 284-290
On the distribution of feature space in Self-Organising mapping and convergence accelerating by a Kalman algorithm....Pages 291-296
A learning algorithm to obtain self-organizing maps using fixed neighbourhood Kohonen networks....Pages 297-304
Analysing a contingency table with Kohonen maps: A factorial correspondence analysis....Pages 305-311
Dynamics of self-organized feature mapping....Pages 312-315
Comparative study of self-organizing neural networks....Pages 316-321
GANNet: A genetic algorithm for optimizing topology and weights in neural network design....Pages 322-327
Vector quantization and projection neural network....Pages 328-333
Constructive design of LVQ and DSM classifiers....Pages 334-339
Linear vector classification: An improvement on LVQ algorithms to create classes of patterns....Pages 340-345
Non-greedy adaptive vector quantizers....Pages 346-350
Hybrid programming environments....Pages 351-357
Automatic generation of C++ code for neural network simulation....Pages 358-363
Urano: An object-oriented artificial neural network simulation tool....Pages 364-369
Realistic simulation tool for early visual processing including space, time and colour data....Pages 370-375
Language supported storage and reuse of persistent neural network objects....Pages 376-381
Flexible operating environment for matrix based neurocomputers....Pages 382-387
A parallel implementation of kohonen's self-organizing maps on the smart neurocomputer....Pages 388-393
Simulation of neural networks in a distributed computing environment using Neurograph....Pages 394-398
Full automatic ann design: A genetic approach....Pages 399-404
Hardware implementations of artificial neural networks....Pages 405-419
A neural network chip using CPWM modulation....Pages 420-425
Hardware implementation of a neural network for high energy physics application....Pages 426-431
MapA: An array processor architecture for neural networks....Pages 432-440
Limitation of connectionism in MLP....Pages 441-447
High level synthesis of neural network chips....Pages 448-453
Neural network simulations on massively parallel computers: Applications in chemical physics....Pages 454-458
A model based approach to the performance analysis of multi-layer networks realised in linear systolic arrays....Pages 459-464
The temporal noisy-leaky integrator neuron with additional inhibitory inputs....Pages 465-470
Architectures for self-learning neural network modules....Pages 471-475
The generic neuron architectural framework for the automatic generation of ASICs....Pages 476-481
A risc architecture to support neural net simulation....Pages 482-487
Hardware design for self organizing feature maps with binary input vectors....Pages 488-493
The Kolmogorov signal processor....Pages 494-512
Projectivity invariant pattern recognition with high-order neural networks....Pages 513-518
Rejection of incorrect answers from a neural net classifier....Pages 519-524
Nonlinear time series modeling by competitive segmentation of state space....Pages 525-530
Identification and prediction of non-linear models with recurrent neural network....Pages 531-535
Use of unsupervised neural networks for classification of blood pressure time series....Pages 536-541
Application of artificial neural networks to chest image classification....Pages 542-549
Combination of self-organizing maps and multilayer perceptrons for speaker independent isolated word recognition....Pages 550-555
An industrial application of neural networks to natural textures classification....Pages 556-562
Use of a layered neural nets as a display method for n-dimensional distributions....Pages 563-568
MLP modular versus yprel classifiers....Pages 569-574
How many hidden neurons are needed to recognize a symmetrical pattern ?....Pages 575-582
Hopfield neural network for routing....Pages 583-592
Neural network routing controller for communication parallel multistage interconnection networks....Pages 593-598
Adaptive routing using cellular automata....Pages 599-604
Optimal blind equalization of Gaussian channels....Pages 605-610
Noise prediction in urban traffic by a neural approach....Pages 611-619
A connectionist approach to the correspondence problem in computer vision....Pages 620-625
Self-organizing feature maps for image segmentation....Pages 626-631
Recognition of fractal images using a neural network....Pages 632-637
Feed forward network for vehicle license character recognition....Pages 638-644
Interpretation of optical flow through complex neural network....Pages 645-650
CT image segmentation by self-organizing learning....Pages 651-656
Texture image segmentation using a modified Hopfield network....Pages 657-663
Image compression with self-organizing networks....Pages 664-669
Neural networks as direct adaptive controllers....Pages 670-675
A neural adaptive controller for a turbofan exhaust nozzle....Pages 676-681
Feed-forward neural networks for bioreactor control....Pages 682-687
Learning networks for process identification and associative action....Pages 688-693
On-line performance enhancement of a behavioral neural network controller....Pages 694-701
An architecture for implementing control and signal processing neural networks....Pages 702-707
Planlite: Adaptive planning using weightless systems....Pages 708-713
Stock prices and volume in an artificial adaptive stock market....Pages 714-719
Application of the Fuzzy ARTMAP neural network architecture to bank failure predictions....Pages 720-725
Combination of neural network and statistical methods for sensory evalution of biological products: On-line beauty selection of flowers....Pages 726-731
An adaptive information retrieval system based on Neural Networks....Pages 732-737
Software pattern EEG recognition after a wavelet transform by a neural network....Pages 738-743