Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
A wealth of neural network formulas (with standardized notation), object code implementation, and examples are provided to demonstrate the object-oriented approach to neural network architectures. Describes how to use the provided classes to implement a variety of neural network architectures, including backpropagation neural network, BAM, Adaline, and self-organizing neural network. A set of reusable neural network classes capable of implementing any neural network architecture is provided. The included floppy disk contains the source code.
-- Copyright © 1999 Book News, Inc., Portland, OR All rights reserved
This book/disk package provides the reader with a foundation from which any neural network
architecture can be constructed. The author has employed object-oriented design and
object-oriented programming concepts to develop a set of foundation neural network classes,
and shows how these classes can be used to implement a variety of neural network architecture with a great deal of ease and flexibility.
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A wealth of neural network formulas (with standardized notation), object code implementation, and examples are provided to demonstrate the object-oriented approach to neural network architectures. Describes how to use the provided classes to implement a variety of neural network architectures, including backpropagation neural network, BAM, Adaline, and self-organizing neural network. A set of reusable neural network classes capable of implementing any neural network architecture is provided. The included floppy disk contains the source code.
-- Copyright © 1999 Book News, Inc., Portland, OR All rights reserved
This book/disk package provides the reader with a foundation from which any neural network
architecture can be constructed. The author has employed object-oriented design and
object-oriented programming concepts to develop a set of foundation neural network classes,
and shows how these classes can be used to implement a variety of neural network architecture with a great deal of ease and flexibility.
Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.
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