Learn IT - Books tags neural

Neural Networks and Pattern Recognition

Academic Press, 1998

This book is one of the most up-to-date and cutting-edge texts available on the rapidly growing application area of neural networks. Neural Networks and Pattern Recognition focuses on the use of neural networksin pattern recognition, a very important application area for neural networks technology. The contributors are widely known...

Intelligent Data Analysis

Springer, 2007

This monograph is a detailed introductory presentation of the key classes of intelligent data analysis methods. The ten coherently written chapters by leading experts provide complete coverage of the core issues.

The first half of the book is devoted to the discussion of classical statistical issues, ranging from the basic concepts of...

Foundations of Soft Case-Based Reasoning (Wiley Series on Intelligent Systems)

John Wiley & Sons, 2004

A breakthrough on today’s fastest growing artificial intelligence technique

Many of today’s engineering and business computer applications require decisions to be made on the basis of uncertain or incomplete information, a phenomenon that has resulted in the development of case-based reasoning, a powerful computing technique by...

Computational Intelligence Paradigms: Theory & Applications using MATLAB

CRC Press, 2010

Offering a wide range of programming examples implemented in MATLAB^®, Computational Intelligence Paradigms: Theory and Applications Using MATLAB^® presents theoretical concepts and a general framework for computational intelligence (CI) approaches, including artificial neural networks, fuzzy...

Artificial Intelligence: A Modern Approach (3rd Edition)

Prentice Hall, 2009

Artificial Intelligence (AI) is a big field, and this is a big book. We have tried to explore the full breadth of the field, which encompasses logic, probability, and continuous mathematics; perception, reasoning, learning, and action; and everything from microelectronic devices to robotic planetary explorers. The book is...

Elements of Artificial Neural Networks (Complex Adaptive Systems)

A Bradford Book, 1996

Elements of Artificial Neural Networks provides a clearly organized general introduction, focusing on a broad range of algorithms, for students and others who want to use neural networks rather than simply study them.The authors, who have been developing and team teaching the material in a one-semester course over the past six years, describe...

Soft Computing for Recognition based on Biometrics (Studies in Computational Intelligence)

Springer, 2010

We describe in this book, bio-inspired models and applications of hybrid intelligent systems using soft computing techniques for image analysis and pattern recognition based on biometrics and other information sources. Soft Computing (SC) consists of several intelligent computing paradigms, including fuzzy logic, neural networks,...

Computational Intelligence for Movement Sciences: Neural Networks and Other Emerging Techniques

Idea Group Publishing, 2006

Recent years have seen many new developments in computational intelligence (CI) techniques and, consequently, this has led to an exponential increase in the number of applications in a variety of areas, including: engineering, finance, social and biomedical. In particular, CI techniques are increasingly being used in biomedical and human movement...

An Introduction to Knowledge Engineering

Springer, 2006

An Introduction to Knowledge Engineering presents a simple but detailed exploration of current and established work in the field of knowledge-based systems and related technologies. Its treatment of the increasing variety of such systems is designed to provide the reader with a substantial grounding in such technologies as expert systems, neural...

Systematic Design for Emergence in Cellular Nonlinear Networks: With Applications in Natural Computing and Signal Processing-

Springer, 2008

The main problem addressed in this book came out during a Fulbright research fellowship stage at U.C. Berkeley (California, USA, 1996–1998). Then, I had the opportunity to work in the research group of Leon Chua on a subject called CNN (cellular neural/nonlinear network). The CNN, developed in the end of the 1980s was an important step ahead...

Advanced Control Engineering

Butterworth-Heinemann, 2001

Advanced Control Engineering provides a complete course in control engineering for undergraduates of all technical disciplines. Starting with a basic overview of elementary control theory this text quickly moves on to a rigorous examination of more advanced and cutting edge date aspects such as robust and intelligent control, including neural...

Generative Adversarial Networks Projects: Build next-generation generative models using TensorFlow and Keras

Packt Publishing, 2019

Explore various Generative Adversarial Network architectures using the Python ecosystem

Key Features

Use different datasets to build advanced projects in the Generative Adversarial Network domain

Implement projects ranging from generating 3D shapes to a face aging...

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