From Natural to Artificial Neural Computation: International Workshop on Artificial Neural Networks Malaga-Torremolinos, Spain, June 7–9, 1995 Proceedings

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This volume presents the proceedings of the International Workshop on Artificial Neural Networks, IWANN '95, held in Torremolinos near Malaga, Spain in June 1995.
The book contains 143 revised papers selected from a wealth of submissions and five invited contributions; it covers all current aspects of neural computation and presents the state of the art of ANN research and applications. The papers are organized in sections on neuroscience, computational models of neurons and neural nets, organization principles, learning, cognitive science and AI, neurosimulators, implementation, neural networks for perception, and neural networks for communication and control.

Author(s): Stephen Grossberg (auth.), José Mira, Francisco Sandoval (eds.)
Series: Lecture Notes in Computer Science 930
Edition: 1
Publisher: Springer-Verlag Berlin Heidelberg
Year: 1995

Language: English
Pages: 1154
Tags: Artificial Intelligence (incl. Robotics); Computation by Abstract Devices; Processor Architectures; Computer Communication Networks; Numerical Analysis; Pattern Recognition

Are there universal principles of brain computation?....Pages 1-6
Modeling cortical networks....Pages 7-14
Cooperative organization of connectivity patterns and receptive fields in the visual pathway: application to adaptive tresholding....Pages 15-23
Neurobiological inspiration for the architecture and functioning of cooperating neural networks....Pages 24-30
Synaptic modulation based artificial neural networks....Pages 31-36
Self-organization of cortical receptive fields and columnar structures in a Hebb-trained neural network....Pages 37-44
An analytical solution of the compartmental model for use in local learning in artificial neural networks....Pages 45-52
Should ANN be ANGN?....Pages 53-60
Modeling retinal high and low contrast sensitivity filters....Pages 61-68
Neural micro-structures three simple models....Pages 69-75
Adaptive hierarchical structures....Pages 76-84
Optimal range of input resistance in the oscillatory behavior of the pancreatic β-cell....Pages 85-89
A computational model of periodic-pattern-selective cells....Pages 90-99
Modeling and analysis of some neural mechanisms for the genesis and control of respiratory pattern....Pages 100-107
A neural network model for plasticity in adult striate cortex....Pages 108-113
Regenerative-type neural interface....Pages 114-120
New perspectives in auditory coding: Bases for a new cochlear behavioural model....Pages 121-129
Nervous system as a closed neuronal network: behavioral and cognitive consequences....Pages 130-136
Local accumulation of persistent activity at synaptic level: Application to motion analysis....Pages 137-143
High Order Boltzmann Machines with continuous units: Some experimental results....Pages 144-150
An adaptive control model of a locomotion by the central pattern generator....Pages 151-157
Self-consistent neural receptive fields....Pages 158-165
A simple probabilistic neural model producing multimodal ISHs....Pages 166-173
An associative neural network to model the developing mammalian hippocampus....Pages 174-179
The implementation of propositional logic in random neural networks....Pages 180-188
A learning rule for extracting temporal invariances....Pages 189-194
The influence of the sigmoid function parameters on the speed of backpropagation learning....Pages 195-201
General transient length upper bound for recurrent neural networks....Pages 202-208
On some methods in neuromathematics (or the development of mathematical methods for the description of structure and function in neurons)....Pages 209-214
Logistic networks with DNA-like encoding and interactions....Pages 215-222
A review on the stochastic firing behaviour of real neurons and how it can be modelled....Pages 223-230
The BP-λL1 algorithm: Non-chaotic and accelerated learning in a MLP network....Pages 231-238
Analysis of pruning in backpropagation networks for artificial and real world mapping problems....Pages 239-245
Oscillatory networks with Hebbian matrix of connections....Pages 246-251
A new algorithm for implementing a recursive neural network....Pages 252-259
Visual information processing from the viewpoint of symbolic operations....Pages 260-267
Dentritic computation in the brain....Pages 268-275
Stochastic neuronal models with realistic synaptic inputs and oscillatory inputs....Pages 276-282
A neural paradigm for controlling autonomous systems with reflex behaviour and learning capability....Pages 283-290
Fast automatic architecture selection in RBF networks....Pages 291-297
Collective behaviour of a chain of Hopfield subnetworks interconnected unidirectionally....Pages 298-307
A comparative study of three neural networks that use soft competition....Pages 308-314
Neural networks and genetic algorithms for the attitude control problem....Pages 315-321
Self-organising Artifical Neural Networks....Pages 322-329
A distributed classifier based on Yprel networks cooperation....Pages 330-337
A fractal, selforganizing map with partially chaotic neurons....Pages 338-344
Multiple self-organizing maps for supervised learning....Pages 345-352
An application of the saturated attractor analysis to three typical models....Pages 353-360
Learning in evolutive neural architectures: An ill-posed problem?....Pages 361-373
Automatic scaling using gamma learning for feedforward neural networks....Pages 374-381
Determining the significance of input parameters using sensitivity analysis....Pages 382-388
Multi-valued neurons: Learning, networks, application to image recognition and extrapolation of temporal series....Pages 389-395
Individual evolutionary algorithm and its application to learning of nearest neighbor based MLP....Pages 396-403
A practical view of suboptimal Bayesian classification with radial Gaussian kernels....Pages 404-411
Schema based learning & learning to Detour....Pages 412-418
Neurons with continuous varying activation in self-organizing maps....Pages 419-426
Improving back-propagation: Epsilon-back-propagation....Pages 427-432
Finite State Automata and Connectionist Machines: A survey....Pages 433-440
Learning transformed prototypes (LTP) — A statistical pattern classification technique of neural networks....Pages 441-447
Fuzzy function estimators as basis on learning from experience....Pages 448-453
Connectionists and statisticians, friends or foes?....Pages 454-461
Unsupervised neural networks for speech perception with Cochlear Implant systems for the profoundly deaf....Pages 462-470
Obstacle avoidance by means of an operant conditioning model....Pages 471-477
Qualitative approach to gradient based learning algorithms....Pages 478-485
Character recognition with neural assemblies....Pages 486-491
Learning by attentional scanning....Pages 492-497
The synthesis of the ranked neural networks applying genetic algorithm with the dynamic probability of mutation....Pages 498-504
Global versus local Heuristic Terminal Attractor....Pages 505-512
Dynamic learning of radial bases functions for fuzzy clustering....Pages 513-518
Incremental learning with a stopping criterion experimental results....Pages 519-526
Learning algorithm with gaussian membership function for Fuzzy RBF Neural Networks....Pages 527-534
Neural network initialization....Pages 535-542
Bidirectional Neural Networks reduce generalisation error....Pages 543-550
Balancing bias and variance: Network topology and pattern set reduction techniques....Pages 551-558
Priming an artificial neural classifier....Pages 559-565
Artificial neuroconsciousness an update....Pages 566-583
Physical and linguistic problems in the modelling of consciousness by neural networks....Pages 584-588
A neural network model for the velocity vector of an object and its consistency with psychological phenomena....Pages 589-596
Implementation and evaluation of a Relevance Feedback device based on Neural Networks....Pages 597-604
Second-order recurrent neural networks can learn regular grammars from noisy strings....Pages 605-610
Extracting DNF rules from artificial neural networks....Pages 611-618
Dynamic symbol grounding, state construction and the problem of teleology....Pages 619-626
Analysis of industrial economics by means of neural nets....Pages 627-633
Effects of spatial frequency and stimulus size on the orientation sensitivity of humans....Pages 634-641
Object oriented design of a simulator for large BP Neural Networks....Pages 642-649
Introducing XSim: A neural network simulator that incorporates biological parameters....Pages 650-657
NETTOOL: A hybrid connectionist-symbolic development environment....Pages 658-665
EL-SIM: a development environment for neuro-fuzzy intelligent controllers....Pages 666-672
Packlib, an interactive environment to develop modular software for data processing....Pages 673-682
NSL — Neural Simulation Language....Pages 683-688
Low-cost accelerator for the simulation of Cellular Neural Networks....Pages 689-695
A VLSI system for neural Bayesian and LVQ classification....Pages 696-703
An associative processor dedicated to classification by neural methods....Pages 704-711
Hardware-Oriented models for VLSI implementation of Self-Organizing Maps....Pages 712-719
Hardware requirements for spike-processing neural networks....Pages 720-727
A VLSI approach to the implementation of additive and shunting neural networks....Pages 728-735
A low-power analog implementation of Cellular Neural Networks....Pages 736-743
Asynchonously parallel Boltzmann Machines mapped onto distributed-memory multiprocessors....Pages 744-751
A coprocessor card for fast neural network emulation....Pages 752-760
Digital hardware implementation of ROI incremental algorithms....Pages 761-770
Comparing implementations of Radial Basis Function Neural Networks on three parallel machines....Pages 771-780
Implementing Radial Basis Functions Neural Networks on the systolic MANTRA machine....Pages 781-788
A mixed parallel-sequential SHNN for large networks....Pages 789-793
A modular VLSI architecture for neural networks implementation....Pages 794-799
A massively parallel neurocomputer with a reconfigurable arithmetical unit....Pages 800-806
An all-optical forward propagation multilayer neural network....Pages 807-814
A VLSI current mode synapse chip....Pages 815-821
Optimal mapping of neural networks onto FPGAs....Pages 822-829
A CPWM synapsis for Weighted Radial Basis Functions....Pages 830-837
Test pattern generation for analog circuits using neural networks and evolutive algorithms....Pages 838-844
About some perception problems in neural networks....Pages 845-859
Optimization neural networks for image segmentation....Pages 860-867
Segmentation of range images: A neural network approach....Pages 868-874
A neural architecture for preattentive segmentation of sewage pipes video images....Pages 875-881
A CNN model for grey scale image processing....Pages 882-889
Kohonen's self-organizing maps for contour segmentation of gray level and color images....Pages 890-897
A geometrical based procedure for source separation mapped to a neural network....Pages 898-905
Quasi-optimum combination of multilayer perceptrons for adaptive multiclass pattern recognition....Pages 906-912
A text recognition system based on a Neural Network and on a Deformed System....Pages 913-918
Simultaneous recognition of multiple objects using the MEM model....Pages 919-925
On-line handwritten character recognition by a hybrid method based on neural networks and pattern matching....Pages 926-933
Analysis and application of the store neural model in recognizing handwritted symbols....Pages 934-941
An adaptative orthogonal asociative memory and its application to character recognition....Pages 942-947
Texture classification on real time using semi-cover vector and an orthogonal neural network....Pages 948-955
An architecture for texture segmentation: from energy features to region detection....Pages 956-962
A lattice-based Time-Delay Neural Network for speech processing....Pages 963-970
Acquisition of internal representation by learning of identity-mapping using overload learning....Pages 971-978
A multiacuity connectionist model for local speed estimation....Pages 979-986
Using Artificial Neural Networks for ultrasonic signals processing from simple geometric shapes....Pages 987-992
A hierarchical neural network for mobile visual tracking with a robot head....Pages 993-1000
Short-term load forecasting using neural nets....Pages 1001-1008
Image compression using feedforward neural networks — Hierarchical approach....Pages 1009-1015
Neural approaches to robot control: Four representative applications....Pages 1016-1035
On line identification of causal relationships between variables in the feed water system of a nuclear power plant....Pages 1036-1044
Dynamic neural units for nonlinear dynamic systems identification....Pages 1045-1051
Optimal identification using feed-forward neural networks....Pages 1052-1059
Recurrent neural networks for identification of friction....Pages 1060-1067
Solving an end-effector positioning problem by Hopfield neural network....Pages 1068-1075
Visuomotor control using an artificial neural network....Pages 1076-1083
Learning the visuomotor coordination of a mobile robot by using the invertible Kohonen Map....Pages 1084-1091
Neural networks for automatic fuzzy control system design....Pages 1092-1098
Supervised classification with variable kernel estimators....Pages 1099-1106
Daily electrical power curves: Classification and forecasting using a Kohonen map....Pages 1107-1113
CMAC real-time adaptive control implementation on a D.S.P. based card....Pages 1114-1120
Neural networks in digital data transmission....Pages 1121-1127
A new neural network approach to the floorplanning of hierarchical VLSI designs....Pages 1128-1134
A neural network approach to Quality Control Charts....Pages 1135-1141
Bankruptcy prediction with Artificial Neural Networks....Pages 1142-1146