International Neural Network Conference: July 9–13, 1990 Palais Des Congres — Paris — France

Front Matter....Pages i-xlii
Front Matter....Pages 549-549
Large Scale Optoelectronic Integration of Asynchronous Analog Neural Networks....Pages 551-554
A Hardware Emulator for Binary Neural Networks....Pages 555-558
An Integrated Artificial Neuron Based on Junction-CCD Technology....Pages 559-562
Fast Generation of Neuro-ASICs....Pages 563-567
VLSI Architecture of the Boltzmann Machine Algorithm....Pages 568-571
Systolic Synthesis of Neural Networks....Pages 572-576
Smart: How to Simulate Huge Networks....Pages 577-580
An Enhanced Parallel Planar Lattice Architecture for Large Scale Neural Network Simulations....Pages 581-584
An Analog Chip Set for Multi-Layered Synchronous Boltzmann Machines....Pages 585-588
DNNA: A Digital Neural Network Architecture....Pages 589-592
The LNeuro-Chip: A Digital VLSI with on-Chip Learning Mechanism....Pages 593-596
Implementation of a VLSI Feedback Neural Network Chip with Internal Automatic Identification of Successful Prototype Retrieval....Pages 597-597
TFT Technology for Variable-Synapse Electronic Neural Networks....Pages 597-597
Analog VLSI for Connectionist Learning....Pages 598-598
Oscillatory States in Coupled Neural Oscillators....Pages 598-598
The Minchinton Cell — Analog Input to the N-Tuple Net....Pages 599-599
Digital Neurocomputer VLSI-Systems with Parallel Architecture....Pages 599-599
A Systolic Implementation of the Self Organization Algorithm....Pages 600-600
Digital Neurocomputers Oriented to a VLSI -Realization....Pages 600-600
Front Matter....Pages 601-601
Network Analysis of an Optically Implemented Connectionist Architecture....Pages 603-606
Front Matter....Pages 601-601
Optical Disk Based Processor for Handwritten Character Recognition....Pages 607-610
Optical Implementation of Neural Networks with Fixed Global Interconnection and Local Adaptive Gain-Control....Pages 611-614
Optical Neural Networks Using Electron Trapping Materials....Pages 615-618
Learning experiment using erasable optically stimulable phosphor in optical neural network....Pages 619-622
Operating Characteristics of a Second-Order Neural Network Classifier System....Pages 623-623
Simulation of an Optoelectronically Implemented Neural Network for Early Visual Processing....Pages 624-624
Front Matter....Pages 625-625
The Cognitive Challange for Neural Architectures....Pages 627-630
Implementation of Back-Propagation on a VLSI Asynchronous Cellular Architecture....Pages 631-634
VLSI Implementation of a Neural Associative Memory and its Application to Vector Quantization....Pages 635-638
Implementing Semantic Networks in an Electronic Neural Network....Pages 639-642
Kohonen Networks on Transputers: Implementation and Animation....Pages 643-646
A Parallel Boltzmann Machine Simulator for Distributed Memory Multiprocessor Systems....Pages 647-650
Optical Character Recognition and Neural-Net Chips....Pages 651-655
Exploiting the Inherent Parallelism of Artificial Neural Networks to Achieve 1300 Million Interconnects per Second....Pages 656-660
Bachus: A VLSI Architecture for a Large Binary Associative Memory....Pages 661-664
A Reconfigurable Architecture for a VLSI Implementation of Artificial Neural Networks....Pages 665-668
Multilayer Neural Networks on Distributed-Memory Multiprocessors....Pages 669-672
Neural Network Simulation on the MasPar MP-1 Massively Parallel Processor....Pages 673-673
Artificial Neural Network on a Massively Parallel Associative Architecture....Pages 673-673
Using Xputers as Universal Accelerators for Neuro Network Simulation and its Applications....Pages 674-674
Front Matter....Pages 625-625
NES: a Neuron-like net for a diagnostic Expert System....Pages 675-675
Hardware Design Concepts for a Calm Neural Network Using 400 Simple Processors: System Architecture....Pages 676-676
Transputer based simulation of a general purpose, fault tolerant neural network....Pages 677-677
Resource-Allocation in a Fault Tolerant Neural Network....Pages 678-678
A Data-Flow Linear Array Implementing Neural Network Architectures....Pages 679-679
Self-Organizing Nonsymmetrical Algorithm and Nonlinear Synaptic Model of Neural Networks....Pages 679-679
On Human Associative Ability (Associative Memory)....Pages 680-680
The Static Reconfiguration of a Serial Superchip System Based on Neural Weights....Pages 681-681
Parallel Implementation of the Kohonen Self-Organization Algorithm....Pages 681-681
Architectures for Uncertain Reasoning....Pages 682-682
Front Matter....Pages 683-683
Orthanc — an N-Tuple Network Development Enviroment....Pages 685-688
A Virtual Machine Model for Artificial Neural Network Programming....Pages 689-692
Optimisation of Network Structure using Genetic Techniques....Pages 693-696
Neural Interactive Paradigm as a More Effective Computer System Environment....Pages 697-700
Functional Descriptions of Neural Networks....Pages 701-704
A Graphical Development Language for Integrated Knowledge Systems....Pages 705-708
PYGMALION....Pages 709-712
BRAINTRACER: A Software Package for the Simulation of Complex Neural Networks....Pages 713-716
The MetaNet Network Environment for the Development of Modular Neural Networks....Pages 717-720
An Actor Language for Connectionism based on Cellular Automata....Pages 721-721
Front Matter....Pages 683-683
Architecture of the Neural Network Simulation Accelerator NEUROSIM/L....Pages 722-725
Front Matter....Pages 727-727
Stability Study of Learning Vector Quantization....Pages 729-732
An Experiment with 3-D Surface Maps to Illustrate Neural Network Performance....Pages 733-737
Front Matter....Pages 739-739
On Backpropagation Learning of Edited Data Sets....Pages 741-744
A Study of Learning and Generalization by Exhaustive Analysis....Pages 745-748
Curvature-Driven Smoothing in Backpropagation Neural Networks....Pages 749-752
Experimental Analysis of Performance of Temporal Supervised Learning Algorithm, Applied to a Long and Complex Sequence....Pages 753-756
BFGS Optimization for Faster and Automated Supervised Learning....Pages 757-760
Grow-and-Learn: An Incremental Method for Category Learning....Pages 761-764
An Approach to Generalization Problem in Back-Propagation Learning....Pages 765-768
A Training Algorithm for a Piecewise Linear Neural Network....Pages 769-772
Supervised Learning Based on Kohonen’s Self-Organising Feature Maps....Pages 773-776
Multi-Module Neural Networks for Classification....Pages 777-780
Multi-Layer Versus Single-Layer Neural Networks and an Application to Reading Hand-Stamped Characters....Pages 781-784
Delay-Insensitive Learning in a Feedforward Neural Network....Pages 785-785
Fast Teaching of Boltzmann Machines with Local Inhibition....Pages 785-785
A Fast Connectionist Learning Paradigm....Pages 786-786
The Extraction of Rules from Multi-Layered Neural Networks....Pages 786-786
Quantum Learning Algorithm for Multilayered Neural Network....Pages 787-787
Training of a Neural Network with Topology Generation for the Classification Problem....Pages 787-787
Front Matter....Pages 739-739
A Model of the Neural Network for Storage and Retrieval of Temporal Sequences....Pages 788-788
Optimal Rule Induction in Neural Networks....Pages 788-788
Learning by Asymmetric Parallel Boltzmann Machines....Pages 789-789
Multi-Criteria Optimized Learning Rule for Optical Implementation....Pages 789-789
Backpropagation Analogue Mapping Improved by Nonlinearities Modification....Pages 790-790
Supervised Learning Using a Genetic Algorithm....Pages 790-790
Structured Training for MLPs: Some Experiments on Netspeak with a Child’s Reading Scheme....Pages 791-791
ALOPEX Algorithm for Supervised Learning in Layer Networks....Pages 791-791
A Learning Rule in the Chebyshev Norm for Multilayer Perceptrons....Pages 792-792
Symmetry and representability properties of feed-forward neural networks....Pages 792-792
Hierarchical Architectures for Optimized Training....Pages 793-793
Front Matter....Pages 795-795
Self-Organizing Neural Architectures for Vision, Learning, and Robotic Control....Pages 797-800
Art 3: Self-Organization of Distributed Pattern Recognition Codes in Neural Network Hierarchies....Pages 801-804
Application of Grossberg and Mingolla Neural Vision Model to Satellite Weather Imagery....Pages 805-808
Representation of Uncertainty in Self-Organizing Neural Networks....Pages 809-812
Improving the Learning Speed in Topological Maps of Patterns....Pages 813-816
Reinforcement Learning with Interacting Continually Running Fully Recurrent Networks....Pages 817-820
Hardware Realisable Learning Algorithms....Pages 821-824
Supervised and Unsupervised Learning in Linear Networks....Pages 825-828
Neural Models for Orthogonal and Oblique Factor Analyses: Towards dynamic data analysis of large sets of highly multidimensional objects....Pages 829-832
Front Matter....Pages 795-795
A Learning Algorithm for Attribute Classes Construction....Pages 833-833
Competitive Clustering....Pages 833-833
Art: An Implementation of the New Direct Access Condition....Pages 834-834
Elementary Operations in Neural Nets: Addition and Subtraction....Pages 835-835
LEP — A Neural Model learning Reliably....Pages 836-836
Pattern Recognition with a Multilayered Neural Network Trained with Dynamic Competitive Learning....Pages 837-837
Weighted Hebbian Learning....Pages 838-838
Self-Organizing Neural Network for Non-Parametric Regression Analysis....Pages 838-838
A Drive Reinforcement Model for Visual Perception....Pages 839-839
Front Matter....Pages 841-841
Bidirectional Associative Memory for Three Patterns....Pages 843-851
Matrix Computations and Neural Associative Memories....Pages 852-854
Partially Connected Models of Associative Memory....Pages 855-859
Reinforcement Learning when Results are Delayed and Interleaved in Time....Pages 860-863
Fault-tolerance in Iterative Learning Neural Networks....Pages 864-867
Memory of Correlated Patterns by Associative Neural Networks with Improved Dynamics....Pages 868-871
Hopfield Model of Neural Network with Unrestricted Self-Feedback....Pages 872-872
A Structured Development for the Implementation of a Multilayer Neural Network (Cram Project)....Pages 873-873
PROBAM Heteroassociative Multilayer Memory for Industrial Application....Pages 874-874
Front Matter....Pages 875-875
Conditions on Activation Functions of Hidden Units for Learning by Backpropagation....Pages 877-880
A Geometric Approach to the Structural Synthesis of Multilayer Perceptron Neural Networks....Pages 881-885
Front Matter....Pages 875-875
A Rule-Based Approach to Neural Network Classifiers....Pages 886-889
Choosing optimal network structure....Pages 890-893
A Goal Seeking Neuron for Boolean Neural Networks....Pages 894-897
A Spatial Approach to Feature Linking....Pages 898-901
The Discrete Neuronal Model and the Probabilistic Discrete Neuronal Model....Pages 902-907
Computing with Arrays of Coupled Oscillators....Pages 908-911
Novelty Dependent Categorization and Learning in Calm Modules....Pages 912-915
Equivalent TLU- and ∑П-Networks for Invariant Pattern Recognition....Pages 916-919
The Concept of Learning Equilibrium Dynamics in the Development of Solid Networks....Pages 920-924
FD-spectrums and their simulation by neural networks F — AI,connectionist,networks....Pages 925-925
Rapid Learning of Pattern Sequences: A Novel Network Model....Pages 926-926
Multi Class Pattern Association Using Digital N-Tuple Networks....Pages 926-926
A Notion of Sequential Composition for Neural Nets....Pages 927-927
Classifying Artificial Neural Network Architecture....Pages 927-927
Most Neural Networks Compute in Steps....Pages 928-928
A Macro Architecture for Dynamic Processing of Temporal Structures....Pages 928-928
A Modular and Expandable Analog Integrated Neural Network....Pages 929-929
Model of Hypothetical Visual Perceptive System....Pages 929-929
Front Matter....Pages 931-931
Neural Network Unit Density: A Critical Biological Parameter....Pages 933-936
Emergence of Complexity in the Dynamic of a Diluted Neural Network....Pages 937-940
Front Matter....Pages 931-931
Informational Versus Bifurcative Use of Chaotic Dynamics in Neural Networks....Pages 941-944
On Dynamics of Higher Order Neural Networks: Existences of Oscillations and Chaos....Pages 945-947
Dynamical Change of Effective Degrees of Freedom in Fractal Chaos Model....Pages 948-951
Temporal Patterns and Leaky Integrator Neurons....Pages 952-955
An Analysis of the Delta Rule....Pages 956-959
Classification capability of the two-layer perceptron....Pages 960-963
Qualitative Analysis of Equilibrium Confinement and Exponential Stability of a Class of Dynamical Neural Networks....Pages 964-968
A Global State Driven Cooling Schema for Simulated Annealing Used with Boltzmann Machine....Pages 969-972
Independence from Temperature of Domains of Attraction in Neural Networks....Pages 973-976
Self-Induced Noise in Neural Networks....Pages 977-978
Some Remarks on Nonlinearities in Neural Networks....Pages 979-979
On Pattern Recognition from the Edge-Images with a Nonlinear, Dynamical Network....Pages 979-979
Linearly Independent Transformation by Hidden Units with Analytic Asymptotic Activation Function....Pages 980-980
Reducing the Weight Space of a Net With Hidden Units to a Minimum Cone.....Pages 981-981
The Kink Representation for Exclusive—OR....Pages 982-982
Evaluation of the Functional Capacities of Multi-Layered Logical Neural Networks....Pages 983-983
Theory of Information Propagation....Pages 983-983
Monte-Carlo Learning: the LMS Rule and Random Weights can Form Non-Convex Decision Surfaces and Generalize....Pages 984-984
Using Local Minima as Sequences Memories....Pages 984-984
The Physical Correlates of Local Minima....Pages 985-985
Front Matter....Pages 931-931
Dynamics and Associative Mapping in Additive Systems....Pages 986-986
Front Matter....Pages 987-987
Learning Filter Systems....Pages 989-992
Fokker-Planck Description of Learning in Backpropagation Networks....Pages 993-996
Fundamental Structure/Behaviour Relationships in Synchronous Boolean Neural Networks....Pages 997-1000
Dynamics of Lateral Interaction Networks....Pages 1001-1004
A Sparsely Connected Asymmetric Neural Network and Its Possible Application to the Processing of Transient Spatio-Temporal Signals....Pages 1005-1008
Discrete Time Models of Noisy Networks.....Pages 1009-1012
On the Computational Power of Neural Networks and Neural Automata....Pages 1013-1013
Stable Neurodynamics and Symbolic Computation....Pages 1013-1013
Eigenvalue Methods as a Tool for Global Analysis....Pages 1014-1014
Coarticulation Invariance in Feedback Multilayer Perceptrons....Pages 1014-1014
Analysis of Parallel and Sequential Boltzmann Machines....Pages 1015-1015
Front Matter....Pages 1017-1017
Stochastic Dynamics and Input Dimensionality in a Two-Layer Neuronal Network for Modelling Multistable Perception....Pages 1019-1022
The Effect of Non-Linear Synapses on Hierarchical Associative Memory....Pages 1023-1023
A Structure for Neural Network Pattern Classifiers....Pages 1024-1027
Convergence of the Vectors in Kohonen’s Learning Vector Quantization....Pages 1028-1031
Recurrent Networks for Learning Stochastic Sequences....Pages 1032-1035
Brain Building with GenNets....Pages 1036-1039
Two Lower Bounds for Probabilistic Algorithms....Pages 1040-1040
Thermal Comfort Sensor based on Probabilistic Energy Neural Network....Pages 1041-1041
Front Matter....Pages 1017-1017
On the Back-Propagation Training of Neural Networks with Noisy Data....Pages 1042-1042
Front Matter....Pages 1043-1043
Neural-Computing Within Esprit....Pages 1045-1053
PYGMALION — Neurocomputing....Pages 1054-1057
The Research Initiative in Pattern Recognition: A UK Collaborative Project in Neural Networks....Pages 1058-1061
Galatea: A C-Library for Connectionist Applications....Pages 1062-1065
An Overview of the First Year of ESPRIT Project ANNIE....Pages 1066-1069
Front Matter....Pages 1071-1071
Neural Networks Activities at Thomson-CSF....Pages 1073-1078
The British Telecom Connectionism Project....Pages 1079-1082
The Impact of Neural Networks on the American Economy: 1990–2010....Pages 1083-1086
Text-Dependent Speaker Identification Using Learning Vector Quantization....Pages 1087-1090
Back Matter....Pages 1091-1098