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Developments in Connectionist Theory Series


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Philosophy and Connectionist Theory

Philosophy and Connectionist Theory

1st Edition

William Ramsey, David E. Rumelhart, Stephen P. Stich
September 01, 1991

The philosophy of cognitive science has recently become one of the most exciting and fastest growing domains of philosophical inquiry and analysis. Until the early 1980s, nearly all of the models developed treated cognitive processes -- like problem solving, language comprehension, memory, and ...

Mathematical Perspectives on Neural Networks

Mathematical Perspectives on Neural Networks

1st Edition

Paul Smolensky, Michael C. Mozer, David E. Rumelhart
June 01, 1996

Recent years have seen an explosion of new mathematical results on learning and processing in neural networks. This body of results rests on a breadth of mathematical background which even few specialists possess. In a format intermediate between a textbook and a collection of research articles, ...

Backpropagation Theory, Architectures, and Applications

Backpropagation Theory, Architectures, and Applications

1st Edition

Yves Chauvin, David E. Rumelhart
February 01, 1995

Composed of three sections, this book presents the most popular training algorithm for neural networks: backpropagation. The first section presents the theory and principles behind backpropagation as seen from different perspectives such as statistics, machine learning, and dynamical systems. The ...

Neuroscience and Connectionist Theory

Neuroscience and Connectionist Theory

1st Edition

Mark A. Gluck, David E. Rumelhart
February 01, 1990

Written for cognitive scientists, psychologists, computer scientists, engineers, and neuroscientists, this book provides an accessible overview of how computational network models are being used to model neurobiological phenomena. Each chapter presents a representative example of how biological ...

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