Neural networks is a field of research which has enjoyed rapid expansion in both the academic and industrial research communities. This volume contains papers presented at the Third Annual SNN Symposium on Neural Networks to be held in Nijmegen, The Netherlands, 14 - 15 September 1995. The papers are divided into two sections: the first gives an overview of new developments in neurobiology, the cognitive sciences, robotics, vision and data modelling. The second presents working neural network solutions to real industrial problems, including process control, finance and marketing. The resulting volume gives a comprehensive view of the state of the art in 1995 and will provide essential reading for postgraduate students and academic/industrial researchers.
Inhaltsverzeichnis
Neural Networks and Artificial Intelligence. - Neurobiology Orals. - Segmentation Coding by the Visual System Neural Signals that Possibly Support Scene Segmentation. - Synchrony and Fast Plasticity in the Visual Cortex. - Rapid Neural Synchronization: From Spiking Cells to Synfire Webs. - Dynamic Representations Provide the Gradual Specification of Movement Parameters. - Recording from Foveal Striate Cortex While the Monkey is Looking at the Stimulus. - Propagation of Synfire Activity in Cortical Networks A Statistical Approach. - Propagation of Synfire Activity in Cortical Networks A Dynamical Systems Approach. - Neurobiology Posters. - Aspects of Spatiotemporal Learning in Artificial Neural Networks: Modelling Synaptic Membrane Currents Using SPICE Simulations. - Possible Functional Roles of the Bipartite Dendrites of Pyramidal Cells. - The Role of Cerebellum in Motor Control. - A Point Process Approach to Cortical Networks. - Stochastic Resonance and Multi-Modal Firing Patterns in Single-Neuron Models. - Cognitive Modelling and Rule Extraction Orals. - The BB Neural Network Rule Extraction Method. - Implications of Hadley s Definition of Systematicity. - The Binding Problem in Distributed Systems. - Integrating Symbolic and Subsymbolic Architectures for Parsing Arithmetic Expressions and Natural Language Sentences. - Bayesian Strategies for Machine Learning: Rule Extraction and Concept Detection. - Cognitive Modelling and Rule Extraction Posters. - Learning at Subsymbolic and Symbolic Levels. - The Construction of Evaluative Maps: Affective Computations in the Amygdala. - Computation, Cognition and Neural Networks. - Automatic Speech Recognition Systems and Models of Human Word Recognition: A Comparative Analysis. - Language Acquisition and the Necessity of aNew Neural Network Approach. - A Neural Model of Visual Attention. - The Combination of Knowledge in Fuzzy Cognitive Maps. - Robotics and Vision Orals. - A Visually Guided Robot and a Neural Network Join to Grasp Slanted Objects. - The Mobile Robot Rhino. - Background Invariant Face Recognition. - Learning Structure from Motion: How to Represent Two-Valued Functions. - A Natural Object Recognition System Using Self-Organising Translation-Invariant Maps. - Affine Scale-Space for Discrete Pointsets. - Robotics and Vision Posters. - Dual Processing of Visual Motion Reduces Smearing, Delay and Noise, but Yields the `Wavy Edge and `Window-Shift Illusions. - The Dynamics of the Perceptual Organisation in Apparent Motion. - Multiscale Image Segmentation Based on a Receptive Field Model. - A Neural Network Architecture for Scene Interpretation. - Neural Dynamics Parametrically Controlled by Image Correlations Organize Robot Navigation. - Statistical Pattern Recognition Orals. - Statistical Ideas for Selecting Network Architectures. - Developments in Probabilistic Modelling with Neural Networks Ensemble Learning. - A Constructive Algorithm for Building a Feed-Forward Neural Network. - Density Estimation Using SOFM and Adaptive Kernels. - Maximum Likelihood Estimates for Markov Networks Using Inhomogeneous Markov Chains. - Statistical Pattern Recognition Posters. - Density Estimation as a Preprocessing Step for Constructive Algorithms. - Mutual Information Neural Networks: A New Connectionist Paradigm for Dynamic Pattern Recognition Tasks. - Output Coding and Modularity for Multi-Class Problems. - Applications of Neural Networks Orals. - Optimal Training for Neural Network Applied to Nuclear Technology. - Nonlinear Predictive Control with Neural Models. - SystemIdentification with Orthogonal Basis Functions and Neural Networks. - Applications of Neural Networks Posters. - Applications of Neural Networks to pH Control. - Appropriate Context Association and Learning Parameters for Word Spotting with Partially Recurrent Neural Networks. - EEG Signal Analysis Using Dynamic Time Warp Transformation and Kohonen s Neural Network. - Learning the Equations of Data. - New Digital Hardware Concept for Self-Organising Feature Maps. - Neural Networks in Practice. - Applications of Neural Networks Orals. - Applicability of Artificial Neural Networks in Small and Medium-Sized Businesses. - Calculation for Client Specific Transformers. - Modelling of Industrial Processes Using Natural Computation. - Neural Network Control for Steel Rolling Mills. - Condition Monitoring with National Power. - The Electronic Nose for Process Control. - Automatic Quality Control of Roofing Tiles. - Automatic Sorting of Pot Plants with a Neural Network Classifier. - Neural Networks Applied to Direct Marketing. - Modelling Market Dynamics in Food and Durables Markets. - Handwritten Character Recognition Using Neural Networks. - Neural Networks The Future of Forecasting in Finance? . - COUNTERMATCH: A Neural Network Approach to Automatic Signature Verification. - ZN-Face: A System for Access Control Using Automated Face Recognition. - Current Prediction for Shipping Guidance. - Applications of Neural Networks Posters. - Adaptive Nonlinear Control Linearised Models with Neural Networks. - A Software Engineering Approach to Neural Network Specification. - A Neural Network-Based Software Tool for Number-Plate Recognition. - Parallel Cross-Validation of Artificial Neural Networks. - Neural Networks in Large Scale Bank Effect Recognition. - Author Index.
