Les livres classés sous : neural
Robots, androids, and animatrons
The time has come for you to bring a robot to life! With
the plummeting costs of microcontrollers, quantum
improvements and price reductions in other technologies,
and the availability of a slew of exciting components in
the electronics marketplace, there...
(paru le 10/12/2001, consulté 2345 fois)
Neural Networks for Modelling and Control of Dynamic Systems
The technology of neural networks has attracted much
attention in recent years. Their ability to learn nonlinear
relationships is widely appreciated and is utilized in many
different types of applications; modelling of dynamic
systems, signal processing, ...
(paru le 31/05/2000, consulté 1716 fois)
Handbook of Neural Engineering
An important new work establishing a foundation for future developments in neural engineering
The Handbook of Neural Engineering provides theoretical foundations in computational neural science and engineering and current applications in wearable and i...
(paru le 16/02/2007, consulté 4387 fois)
Metaheuristic Procedures for Training Neural Networks
Artificial neural networks (ANNs) offer a general framework for representing non-linear mappings from several input variables to several output variables, and they can be considered as an extension of the many conventional mapping techniques. In addition ...
(paru le 30/06/2006, consulté 4591 fois)
New Directions in Statistical Signal Processing From Systems to Brains
Signal processing and neural computation have separately and significantly influenced many disciplines, but the cross-fertilization of the two fields has begun only recently. Research now shows that each has much to teach the other, as we see highly sophi...
(paru le 04/12/2006, consulté 5267 fois)
Intelligent Control Systems Using Soft Computing Methodologies
In recent years, intelligent control has emerged as one of
the most active and fruitful areas of research and
development. Until now, however, there has been no
comprehensive text that explores the subject with focus on
the design and analysis of biologic...
(paru le 01/04/2001, consulté 3901 fois)
Nonlinear Identification and Control A Neural Network Approach
The purpose of this monograph is to give the broad aspects
of nonlinear identification and control using neural
networks. It consists of three parts:
an introduction to the fundamental principles of neural
networks;
several methods for nonlinear identif...
(paru le 21/01/2002, consulté 2735 fois)
Neural Networks in a Softcomputing Framework
Conventional model-based data processing methods are computationally expensive and require experts' knowledge for the modelling of a system; neural networks provide a model-free, adaptive, parallel-processing solution. Neural Networks in a Softcomputing F...
(paru le 30/04/2006, consulté 3556 fois)
Artificial Neural Networks in Real-Life Applications
Artificial Neural Networks in Real-Life Applications offers an outlook on the most recent works in the field of artificial neural networks (ANN). It includes theoretical developments of the ANN area and applications of these systems, using intelligent cha...
(paru le 17/03/2006, consulté 5441 fois)
Neural Networks and Animal Behavior
How can we make better sense of animal behavior by using what we know about the brain? This is the first book that attempts to answer this important question by applying neural network theory. Scientists create Artificial Neural Networks (ANNs) to make mo...
(paru le 04/10/2005, consulté 4032 fois)
Neural Networks
Fluid and authoritative, this well-organized book
represents the first comprehensive treatment of neural
networks from an engineering perspective, providing
extensive, state-of-the-art coverage that will expose
readers to the myriad facets of neural netwo...
(paru le 10/03/1998, consulté 4584 fois)
Bayesian Nonparametrics Via Neural Networks
Bayesian Nonparametrics via Neural Networks is the first book to focus on neural networks in the context of nonparametric regression and classification, working within the Bayesian paradigm. Its goal is to demystify neural networks, putting them firmly in...
(paru le 15/06/2004, consulté 3939 fois)
Neural Networks in Finance Gaining Predictive Edge in the Market
This book explores the intuitive appeal of neural networks and the genetic algorithm in finance. It demonstrates how neural networks used in combination with evolutionary computation outperform classical econometric methods for accuracy in forecasting, cl...
(paru le 31/01/2005, consulté 3234 fois)
Neural network control: theory and applications
A substantial part of the book addresses application issues in NN control, providing several interesting case studies for more application-oriented readers. Thus, while the book is written to serve as an advanced control reference on NN control for resear...
(paru le 14/06/2004, consulté 4570 fois)
Neural Networks for Pattern Recognition
This is the first comprehensive treatment of feed-forward
neural networks from the perspective of statistical pattern
recognition. After introducing the basic concepts, the book
examines techniques for modelling probability density
functions and the prope...
(paru le 10/11/1995, consulté 4301 fois)
Neural networks A systematic introduction
Artificial neural networks are an alternative
computational paradigm with roots in neurobiology which has
attracted increasing interest in recent years. This book is
a comprehensive introduction to the topic that stresses the
systematic development of the...
(paru le 29/04/1996, consulté 6208 fois)
From Computer to Brain Foundations of Computational Neuroscience
Biology undergraduates, medical students and
life-science graduate students often have limited
mathematical skills. Similarly, physics, math and
engineering students have little patience for the detailed
facts that make up much of biological knowledge. Te...
(paru le 06/11/2002, consulté 4405 fois)
The Handbook of Brain Theory and Neural Networks
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: ...
(paru le 17/01/2003, consulté 4362 fois)
Neural Networks
For graduate-level neural network courses offered in the
departments of Computer Engineering, Electrical
Engineering, and Computer Science.
Renowned for its thoroughness and readability, this
well-organized and completely up-to-date text remains the
most...
(paru le 01/01/1999, consulté 3761 fois)
Advanced Fuzzy Systems Design and Applications
This book presents a variety of recently developed
methods for generating fuzzy rules from data with the help
of neural networks and evolutionary algorithms. Special
efforts have been put on dealing with knowledge
incorporation into neural and evolutionar...
(paru le 03/12/2002, consulté 3302 fois)
Neural and Adaptive Systems Fundamentals Through Simulations
This one-of-a-kind interactive book and CD-ROM will help
you develop a better understanding of the behavior of
adaptive systems. Developed as part of a project aimed at
innovating the teaching of adaptive systems in science and
engineering, it unifies the...
(paru le 10/11/1999, consulté 4711 fois)
Static and Dynamic Neural Networks From Fundamentals to Advanced Theory
Provides comprehensive treatment of the theory of both
static and dynamic neural networks. Theoretical concepts
are illustrated by reference to practical examples Includes
end-of-chapter exercises and end-of-chapter exercises.
Contents
Foundations of Ne...
(paru le 07/05/2003, consulté 5310 fois)
Object-Oriented Neural Networks in C++
A neural network is a computational network composed of
mathematically defined elements that are thought to
approximate the workings of biological neurons. In
situations where a decision depends on many factors, neural
networks provided decisions with mor...
(paru le 10/10/1996, consulté 5780 fois)
Computer Vision and Fuzzy-Neural Systems
Recent advances in neural networks and fuzzy logic are
transforming the field of computer vision, making it
possible for computer vision applications to learn much as
the brain does, and to handle the real world's imprecise
visual data far more effectivel...
(paru le 01/06/2001, consulté 6101 fois)