Learn IT - Books tags neural

Information Processing with Evolutionary Algorithms: From Industrial Applications to Academic Speculations

Springer, 2004

The last decade of the twentieth century has witnessed a surge of interest in numerical, computational intensive approaches to information processing. The lines that draw the boundaries between statistics, optimization, artificial intelligence and information processing are disappearing and it is not uncommon to find well founded and sophisticated...

Introduction to Data Mining and its Applications (Studies in Computational Intelligence)

Springer, 2006

An enormous proliferation of databases in almost every area of human endeavor has created a great demand for new, powerful tools for turning data into useful, task-oriented knowledge. In the efforts to satisfy this need, researchers have been exploring ideas and methods developed in machine learning, pattern recognition, statistical data analysis,...

Mathematics of Uncertainty: Ideas, Methods, Application Problems

Springer, 2005

"Mathematics of Uncertainty" provides the basic ideas and foundations of uncertainty, covering the fields of mathematics in which uncertainty, variability, imprecision and fuzziness of data are of importance. This introductory book describes the basic ideas of the mathematical fields of uncertainty from simple interpolation to...

Intelligent Multimedia Processing with Soft Computing

Springer, 2004

The past years have witnessed a large number of interesting applications of various soft computing techniques, such as fuzzy logic, neural networks, and evolutionary computation, to intelligent multimedia processing. This carefully edited monograph presents novel applications of soft computing in multimedia processing. It includes contributions...

Computational Intelligence in Fault Diagnosis (Advanced Information and Knowledge Processing)

Springer, 2006

Presenting the latest developments and research results on fault diagnosis approaches using computational intelligence methodologies, this book opens with a review of the state-of-the-art before focusing on various theoretical aspects of computational intelligence methodologies applied to real-world fault diagnosis problems.

Chapters...

Support Vector Machines: Theory and Applications (Studies in Fuzziness and Soft Computing)

Springer, 2005

The support vector machine (SVM) is a supervised learning method that generates input-output mapping functions from a set of labeled training data. The mapping function can be either a classification function, i.e., the category of the input data, or a regression function. For classification, nonlinear kernel functions are often used to...

Do Smart Adaptive Systems Exist?: Best Practice for Selection and Combination of Intelligent Methods

Springer, 2005

Do Smart Adaptive Systems Exist? is intended as a reference and a guide summarising and focusing on best practices when using intelligent techniques and building systems requiring a degree of adaptation and intelligence.

It is therefore not intended as a collection of the most recent research results, but as a practical...

Rule-Based Evolutionary Online Learning Systems: A Principled Approach to LCS Analysis and Design

Springer, 2005

This book offers a comprehensive introduction to learning classifier systems (LCS) – or more generally, rule-based evolutionary online learning systems. LCSs learn interactively – much like a neural network – but with an increased adaptivity and flexibility. This book provides the necessary background knowledge on problem types,...

Computational Intelligence: Principles, Techniques and Applications

Springer, 2005

Computational Intelligence: Principles, Techniques and Applications presents both theories and applications of computational intelligence in a clear, precise and highly comprehensive style. The textbook addresses the fundamental aspects of fuzzy sets and logic, neural networks, evolutionary computing and belief networks. The...

Application of Agents and Intelligent Information Technologies

IGI Global, 2007

The Web has sparked renewed interest in developing intelligent information systems that enable users to accomplish complex tasks in Web-centric environments with relative ease. Although artificially intelligent (AI) technologies such as expert systems and neural networks have been successfully used in aerospace, communication, medical, and...

Handbook of Geometric Computing: Applications in Pattern Recognition, Computer Vision, Neuralcomputing, and Robotics

Springer, 2005

Many computer scientists, engineers, applied mathematicians, and physicists use geometry theory and geometric computing methods in the design of perception-action systems, intelligent autonomous systems, and man-machine interfaces. This handbook brings together the most recent advances in the application of geometric computing for building such...

Fuzzy Chaotic Systems: Modeling, Control, and Applications (Studies in Fuzziness and Soft Computing)

Springer, 2006

Bringing together the two seemingly unrelated concepts, fuzzy logic and chaos theory, is primarily motivated by the concept of soft computing (SC), initiated by Lotfi A. Zadeh, the founder of fuzzy set theory. The principal constituents of SC are fuzzy logic (FL), neural network theory (NN) and probabilistic reasoning (PR), with the latter...

Result Page: 33 32 31 30 29 28 27 26 25 24 23 22 21 20 19 18 17 16 15