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Engineering Science Reference - Neural Networks for Nonlinear Data

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Description

Nonlinear data presents significant challenges to organizations due to its complexity and unpredictability. This book, published by Engineering Science Reference, explores how artificial neural networks serve as the necessary technology to handle these complex data forms. While these modeling systems provide high levels of benefit for analyzing data efficiently, there is a lack of research regarding their specific applications. This text addresses that gap by focusing on the use of intelligent components to process information and analyze data in a proficient manner. It is an essential resource for those looking to understand how to maintain a competitive edge through better data analysis and computational intelligence.

Key Features

This book explores the use of artificial neural networks to handle complex nonlinear data.

Published by Engineering Science Reference as part of the Advances in Computational Intelligence and Robotics series.

Provides insights into using intelligent components to analyze data more efficiently and effectively.

Addresses the deficiency in research regarding specific applications of neural network modeling systems.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
25 September 2020
Listed Since
02 April 2020

Barcode

No barcode data available

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