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Practical neural network recipes in C
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Practical neural network recipes in C

by Timothy Masters

This guide provides C++ implementations of neural network models, focusing on the three-layer feedforward network. It details the development process from data preprocessing and training to performance evaluation, including source code for practical applications.

Accession 10453 ISBN 0124790402 Publisher Academic Press
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Curated Derived
Computer Science Problem Solving Technology
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position_updated_at
2026-06-01 16:33
orientation
vertical
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binding_type
Hard Back
dimensions
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spine_text
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LOCATION HISTORY
M:N3:4 5 Current vertical
1 week, 3 days ago
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Identity

name→ title
Practical neural network recipes in C
vernon_id
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10453
vernon_slug
practical-neural-network-recipes-in-c-timothy-masters

Drives Pulse state

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On Shelf, Storage
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location_reason
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isbn_issn→ isbn (when valid)
0124790402

Descriptive

production_date
1993
object_type
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object_status
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brief_description
This text serves as a cookbook for neural network solutions to practical problems using C++. It will enable those with moderate programming experience to select a neural network model appropriate to solving a particular problem, and to produce a working program implementing that network. The book provides guidance along the entire problem-solving path, including designing the training set, preprocessing variables, training and validating the network, and evaluating its performance. Though the book is not intended as a general course in neural networks, no background in neural works is assum. --Trove.

Subjects & people

authors→ author (initial fill only)
Timothy Masters
tags→ tags
Computer systems, Computer programming, Electronic data processing, Computers, Neural networks (Computer science), Soft computing
subject_people
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