Learn IT - Books tags neural

Pattern Recognition and Image Preprocessing (Signal Processing and Communication, 14)

CRC Press, 2002

Describing non-parametric and parametric theoretic classification and the training of discriminant functions, this second edition includes new and expanded sections on neural networks, Fisher's discriminant, wavelet transform, and the method of principal components. It contains discussions on dimensionality reduction and feature selection, novel...

Handbook of Approximation Algorithms and Metaheuristics

CRC Press, 2007

Delineating the tremendous growth in this area, the Handbook of Approximation Algorithms and Metaheuristics covers fundamental, theoretical topics as well as advanced, practical applications. It is the first book to comprehensively study both approximation algorithms and metaheuristics.

Starting with basic approaches, the...

Modular Neural Networks and Type-2 Fuzzy Systems for Pattern Recognition (Studies in Computational Intelligence)

Springer, 2011

We describe in this book, hybrid intelligent systems using type-2 fuzzy logic and modular neural networks for pattern recognition applications. Hybrid intelligent systems combine several intelligent computing paradigms, including fuzzy logic, neural networks, and bio-inspired optimization algorithms, which can be used to produce...

Regenerative Biology and Medicine

Academic Press, 2006

The purpose of the book is to bring together in one place the different facets of regenerative biology and medicine while providing the reader with an overview of the basic and clinically-oriented research that is being done. Not only does the content cover a plethora tissues and systems, it also includes information about the developmental...

Intelligent Mobile Projects with TensorFlow: Build 10+ Artificial Intelligence apps using TensorFlow Mobile and Lite for iOS, Android, and Raspberry Pi

Packt Publishing, 2018

Create Deep Learning and Reinforcement Learning apps for multiple platforms with TensorFlow

Key Features

Build TensorFlow-powered AI applications for mobile and embedded devices

Learn modern AI topics such as computer vision, NLP, and deep reinforcement learning

...

The Handbook of Brain Theory and Neural Networks: Second Edition

MIT Press, 2002

Dramatically updating and extending the first edition, published in 1995, the second edition of The Handbook of Brain Theory and Neural Networks presents the enormous progress made in recent years in the many subfields related to the two great questions: How does the brain work? and, How can we build intelligent machines?

Once...

Data Mining With Neural Networks: Solving Business Problems from Application Development to Decision Support

McGraw-Hill, 1996

In my position at IBM, I regularly brief executives, managers, and computer professionals on data mining and neural network technology. In my briefings, I cover the fundamentals of data mining and neural networks, and I also discuss specific applications relevant to the customers' businesses. Since time is usually limited, my goal...

Hybrid Imaging and Visualization: Employing Machine Learning with Mathematica - Python

Springer, 2019

The book introduces the latest methods and algorithms developed in machine and deep learning (hybrid symbolic-numeric computations, robust statistical techniques for clustering and eliminating data as well as convolutional neural networks) dealing not only with images and the use of computers, but also their applications to visualization tasks...

Dynamics of Complex Systems (Studies in Nonlinearity)

Addison Wesley, 1997

The study of complex systems in a unified framework has become recognized in recent years as a new scientific discipline, the ultimate in the interdisciplinary fields. Breaking down the barriers between physics, chemistry, and biology and the so-called soft sciences of psychology, sociology, economics and anthropology, this text explores the...

Knowledge-Based Intelligent Techniques in Character Recognition

CRC Press, 1999

Knowledge-Based Intelligent Techniques in Character Recognition presents research results on intelligent character recognition techniques, reflecting the tremendous worldwide interest in the applications of knowledge-based techniques in this challenging field. This resource will interest anyone involved in computer science, computer engineering,...

Image Processing and Pattern Recognition (Neural Network Systems Techniques and Applications)

Academic Press, 1998

Image Processing and Pattern Recognition covers major applications in the field, including optical character recognition, speech classification, medical imaging, paper currency recognition, classification reliability techniques, and sensor technology. The text emphasizes algorithms and architectures for achieving practical and...

Data Mining in Finance: Advances in Relational and Hybrid Methods

Springer, 2000

Data Mining in Finance presents a comprehensive overview of major algorithmic approaches to predictive data mining, including statistical, neural networks, ruled-based, decision-tree, and fuzzy-logic methods, and then examines the suitability of these approaches to financial data mining. The book focuses specifically on relational data mining...

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