Hybrid Archits for Intelligent Systems

THEORY, METHODOLOGIES, ALGORITHMS. NEURAL NETS AND FUZZY LOGIC (A.F. da Rocha and R.R. Yager). Preliminary Concepts. Basic Components of Modular Neural Networks. Modular Networks. NODE ERROR ASSIGNMENT IN EXPERT NETWORKS (R.C. Lacher). Discrete Time Neural Computation. Node Error Assignment. Expert Network Backprop. Computational Experiments. LEARNING SYSTEM FOR GRAMMARS AND LEXICONS (J. D'souza and M. Schneider). Learning. Modifying the Lexicon. Modifying the Grammar. Creating a Grammar. Relationship between FEST and LSGL. INTEGRATION OF NEURAL NETWORK TECHNIQUES WITH APPROXIMATE REASONING IN KNOWLEDGE-BASED SYSTEMS (M.E. Cohen and D.L. Hudson). Approximate Reasoning in Knowledge-Based Systems. A Neural Network Learning Algorithm. Combined Techniques. A PARALLEL DISTRIBUTED APPROACH FOR KNOWLEDGE-BASED INFERENCE AND LEARNING (L-M Fu). A Knowledge-Based Neural Network. Inference. Learning. Evaluation. PERFORMANCE ISSUES OF A HYBRID SYMBOLIC, CONNECTIONIST ALGORITHM (L.O. Hall and S.G. Romaniuk). Network Structure. Learning. Analysis of Learning. Global Attribute Covering Algorithm. The Two Spirals Problem. Diagnosing Semiconductor Wafer Failures. A HYBRID ARCHITECTURE FOR FUZZY CONNECTIONIST EXPERT SYSTEM (R.J. Machado and A.F. da Rocha). Architecture of Fuzzy Connectionist Expert Systems. Example of an Application. MODELS AND GUIDELINES FOR INTEGRATING EXPERT SYSTEMS AND NEURAL NETWORKS (L.R. Medsker and D.L. Bailey). Models for ES/NN Synergy. Application Review. Guidelines for Developmental of Hybrid Systems. FUZZY HYBRID SYSTEMS (C. Posey, A. Kandel, and G. Langholz). Expert Systems. Neural Networks. Fuzzy Hybrid Systems. Conversion from Fuzzy Expert System to Neural Network. Knowledge Transfer from Neural Network to Expert System. Learning Results. HYBRID DISTRIBUTED/LOCAL CONNECTIONIST ARCHITECTURES (T. Samad). Distributed and Local Representations. Hybrid Distributed and Local Representations. Hybrid Distributed/Local Networks. A Connectionist Rule-Based Syste