Artificial Adaptive Systems Using Auto Contractive Maps Theory, Applications and Extensions /

• Main Authors: Buscema, Paolo Massimo (Author, http://id.loc.gov/vocabulary/relators/aut), Massini, Giulia (http://id.loc.gov/vocabulary/relators/aut), Breda, Marco (http://id.loc.gov/vocabulary/relators/aut), Lodwick, Weldon A. (http://id.loc.gov/vocabulary/relators/aut), Newman, Francis (http://id.loc.gov/vocabulary/relators/aut), Asadi-Zeydabadi, Masoud (http://id.loc.gov/vocabulary/relators/aut)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2018.
• Edition: 1st ed. 2018.
• Series: Studies in Systems, Decision and Control, 131
• Subjects: Computational intelligence.; Data mining.; Artificial intelligence.; Mathematical logic.; Computational Intelligence.; Data Mining and Knowledge Discovery.; Artificial Intelligence.; Mathematical Logic and Foundations.

This book offers an introduction to artificial adaptive systems and a general model of the relationships between the data and algorithms used to analyze them. It subsequently describes artificial neural networks as a subclass of artificial adaptive systems, and reports on the backpropagation algorit...

Table of Contents:

• An Introduction
• Artificial Neural Networks
• Auto-Contractive Maps
• Visualization of Auto-CM Output
• Dataset Transformations and Auto-CM
• Comparison of Auto-CM to Various Other Data Understanding Approaches.