Progress in Connectionist-Based Information Systems

Gedeon T. Coghill G. O'Shea R. Ko K. Kozma R. Kasabov N.

ISBN 10: 9813083646 / ISBN 13: 9789813083646

Editore: Springer, 1998

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pp. 1400.

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Dati bibliografici

• Titolo: Progress in Connectionist-Based Information Systems
• Editore: Springer
• Data di pubblicazione: 1998
• Lingua: Inglese
• ISBN 10: 9813083646
• ISBN 13: 9789813083646
• Rilegatura: Brossura
• Condizione: New

Descrizione articolo

Riassunto

These two volumes consist of about 350 papers in three main areas of artificial intelligence and neurocomputing, namely: (1) modelling the brain; (2) methods of soft computing; (3) applications of intelligent information systems. The materials, contained in two volumes, emphasise the importance of connectionist-based information systems which use neural networks and other methods to achieve intelligent information processing, such as speech recognition and language understanding, pattern recognition, vision, learning and adaptation, planning, and decision making. Some of the methods of the connectionist-based information systems directly model the physical organisation of the human brain, which is the area of brain-like computing. Other methods model cognitive aspects of human behaviours, which is the area of cognitive engineering. A third group of methods are based on statistical and probability theory. All these methods are presented and applied on concrete problems. Many connectionist-based systems are described in different papers of the two volumes. These two volumes are a comprehensive and up-to-date guide to the diverse topics of neuro-computing, artificial intelligence and knowledge engineering.

Contenuti

VOLUME 1: PART I: NEURAL INFORMATION PROCESSING: - Modelling the Brain (10 papers).- Visual Perception (23 papers).- Sensory Systems (5 papers).- Dynamic Systems and Chaos (12 papers); PART II: COMPUTATIONAL INTELLIGENCE: - Artificial Neural Networks: Models, Architectures and Algorithms (41 papers).- Methods of Fuzzy Logic (5 papers).- Genetic Algorithms and Evolutionary Programming (21 papers); Soft Computing for Data Analysis, Clustering, learning and Optimisation (19 papers); Probabilistic and Statistical Methods. Approximate Reasoning (18 papers); Blind Source Separation (5 papers); Design and Implementation of Intelligent and Neural Systems (24 papers); AUTHOR INDEX. VOLUME 2: PART III: INTELLIGENT INFORMATION SYSTEMS AND THEIR APPLICATIONS: - Hybrid Systems (18 papers).- Machine Learning, Data Mining and Information Retrieval (21 papers).- Intelligent Control and robotics (16 papers).- Prediction (6 papers).- Optimisation and Scheduling (10 papers).- Signal Processing and Speech Recognition (17 papers); Pattern Recognition and Image Processing (32 papers).- Applications of AI and Intelligent Systems in Engineering, Business and Medicine (25 papers); AUTHOR INDEX.