Artificial Neural Nets Problem Solving Methods

Author : José Mira
Publisher : Springer Science & Business Media
Page : 845 pages
File Size : 52,7 Mb
Release : 2003-05-22
Category : Computers
ISBN : 9783540402114

Get Book

Artificial Neural Nets. Problem Solving Methods by José Mira Pdf

The two-volume set LNCS 2686 and LNCS 2687 constitute the refereed proceedings of the 7th International Work-Conference on Artificial and Natural Neural Networks, IWANN 2003, held in Maó, Menorca, Spain in June 2003. The 197 revised papers presented were carefully reviewed and selected for inclusion in the book and address the following topics: mathematical and computational methods in neural modelling, neurophysiological data analysis and modelling, structural and functional models of neurons, learning and other plasticity phenomena, complex systems dynamics, cognitive processes and artificial intelligence, methodologies for net design, bio-inspired systems and engineering, and applications in a broad variety of fields.

Author : José Mira,Peter M. A. Sloot
Publisher : Unknown
Page : 0 pages
File Size : 51,8 Mb
Release : 2003
Category : Algorithms
ISBN : 8354044866

Get Book

Artificial Neural Nets. Problem Solving Methods by José Mira,Peter M. A. Sloot Pdf

The four-volume set LNCS 2657, LNCS 2658, LNCS 2659, and LNCS 2660 constitutes the refereed proceedings of the Third International Conference on Computational Science, ICCS 2003, held concurrently in Melbourne, Australia and in St. Petersburg, Russia in June 2003. The four volumes present more than 460 reviewed contributed and invited papers and span the whole range of computational science, from foundational issues in computer science and algorithmic mathematics to advanced applications in virtually all application fields making use of computational techniques. These proceedings give a unique account of recent results in the field.

Author : José Mira,José R. Alvarez
Publisher : Springer
Page : 828 pages
File Size : 46,6 Mb
Release : 2014-03-12
Category : Computers
ISBN : 3662187329

Get Book

Artificial Neural Nets. Problem Solving Methods by José Mira,José R. Alvarez Pdf

Author : José Mira,José R. Alvarez
Publisher : Springer
Page : 828 pages
File Size : 46,8 Mb
Release : 2003-08-03
Category : Computers
ISBN : 9783540448693

Get Book

Artificial Neural Nets. Problem Solving Methods by José Mira,José R. Alvarez Pdf

The two-volume set LNCS 2686 and LNCS 2687 constitute the refereed proceedings of the 7th International Work-Conference on Artificial and Natural Neural Networks, IWANN 2003, held in MaÃ3, Menorca, Spain in June 2003.The 197 revised papers presented were carefully reviewed and selected for inclusion in the book and address the following topics: mathematical and computational methods in neural modelling, neurophysiological data analysis and modelling, structural and functional models of neurons, learning and other plasticity phenomena, complex systems dynamics, cognitive processes and artificial intelligence, methodologies for net design, bio-inspired systems and engineering, and applications in a broad variety of fields.nbsp;

Author : J Mira
Publisher : Unknown
Page : 828 pages
File Size : 45,5 Mb
Release : 2006
Category : Electronic
ISBN : OCLC:974012083

Get Book

Artificial Neural Nets. Problem Solving Methods: 7th International Work-Conference on Artificial and Natural Neural Networks, IWANN 2003, Maó, Menorca, Spain, June 3-6. Proceedings by J Mira Pdf

Author : Neha Yadav,Anupam Yadav,Manoj Kumar
Publisher : Springer
Page : 114 pages
File Size : 50,9 Mb
Release : 2015-02-26
Category : Mathematics
ISBN : 9789401798167

Get Book

An Introduction to Neural Network Methods for Differential Equations by Neha Yadav,Anupam Yadav,Manoj Kumar Pdf

This book introduces a variety of neural network methods for solving differential equations arising in science and engineering. The emphasis is placed on a deep understanding of the neural network techniques, which has been presented in a mostly heuristic and intuitive manner. This approach will enable the reader to understand the working, efficiency and shortcomings of each neural network technique for solving differential equations. The objective of this book is to provide the reader with a sound understanding of the foundations of neural networks and a comprehensive introduction to neural network methods for solving differential equations together with recent developments in the techniques and their applications. The book comprises four major sections. Section I consists of a brief overview of differential equations and the relevant physical problems arising in science and engineering. Section II illustrates the history of neural networks starting from their beginnings in the 1940s through to the renewed interest of the 1980s. A general introduction to neural networks and learning technologies is presented in Section III. This section also includes the description of the multilayer perceptron and its learning methods. In Section IV, the different neural network methods for solving differential equations are introduced, including discussion of the most recent developments in the field. Advanced students and researchers in mathematics, computer science and various disciplines in science and engineering will find this book a valuable reference source.

Author : Xiang-Sun Zhang
Publisher : Springer Science & Business Media
Page : 369 pages
File Size : 53,8 Mb
Release : 2013-03-09
Category : Science
ISBN : 9781475731675

Get Book

Neural Networks in Optimization by Xiang-Sun Zhang Pdf

People are facing more and more NP-complete or NP-hard problems of a combinatorial nature and of a continuous nature in economic, military and management practice. There are two ways in which one can enhance the efficiency of searching for the solutions of these problems. The first is to improve the speed and memory capacity of hardware. We all have witnessed the computer industry's amazing achievements with hardware and software developments over the last twenty years. On one hand many computers, bought only a few years ago, are being sent to elementary schools for children to learn the ABC's of computing. On the other hand, with economic, scientific and military developments, it seems that the increase of intricacy and the size of newly arising problems have no end. We all realize then that the second way, to design good algorithms, will definitely compensate for the hardware limitations in the case of complicated problems. It is the collective and parallel computation property of artificial neural net works that has activated the enthusiasm of researchers in the field of computer science and applied mathematics. It is hard to say that artificial neural networks are solvers of the above-mentioned dilemma, but at least they throw some new light on the difficulties we face. We not only anticipate that there will be neural computers with intelligence but we also believe that the research results of artificial neural networks might lead to new algorithms on von Neumann's computers.

Author : Jose Mira,Juan V. Sanchez-Andres
Publisher : Springer Science & Business Media
Page : 942 pages
File Size : 51,6 Mb
Release : 1999-05-19
Category : Computers
ISBN : 3540660682

Get Book

Engineering Applications of Bio-Inspired Artificial Neural Networks by Jose Mira,Juan V. Sanchez-Andres Pdf

This book constitutes, together with its compagnion LNCS 1606, the refereed proceedings of the International Work-Conference on Artificial and Neural Networks, IWANN'99, held in Alicante, Spain in June 1999. The 91 revised papers presented were carefully reviewed and selected for inclusion in the book. This volume is devoted to applications of biologically inspired artificial neural networks in various engineering disciplines. The papers are organized in parts on artificial neural nets simulation and implementation, image processing, and engineering applications.

Author : Management Association, Information Resources
Publisher : IGI Global
Page : 1575 pages
File Size : 45,5 Mb
Release : 2021-07-16
Category : Computers
ISBN : 9781668424094

Get Book

Research Anthology on Artificial Neural Network Applications by Management Association, Information Resources Pdf

Artificial neural networks (ANNs) present many benefits in analyzing complex data in a proficient manner. As an effective and efficient problem-solving method, ANNs are incredibly useful in many different fields. From education to medicine and banking to engineering, artificial neural networks are a growing phenomenon as more realize the plethora of uses and benefits they provide. Due to their complexity, it is vital for researchers to understand ANN capabilities in various fields. The Research Anthology on Artificial Neural Network Applications covers critical topics related to artificial neural networks and their multitude of applications in a number of diverse areas including medicine, finance, operations research, business, social media, security, and more. Covering everything from the applications and uses of artificial neural networks to deep learning and non-linear problems, this book is ideal for computer scientists, IT specialists, data scientists, technologists, business owners, engineers, government agencies, researchers, academicians, and students, as well as anyone who is interested in learning more about how artificial neural networks can be used across a wide range of fields.

Author : Kishan Mehrotra,Chilukuri K. Mohan,Sanjay Ranka
Publisher : MIT Press
Page : 376 pages
File Size : 40,5 Mb
Release : 1997
Category : Computers
ISBN : 0262133288

Get Book

Elements of Artificial Neural Networks by Kishan Mehrotra,Chilukuri K. Mohan,Sanjay Ranka Pdf

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 most of the basic neural network models (with several detailed solved examples) and discuss the rationale and advantages of the models, as well as their limitations. The approach is practical and open-minded and requires very little mathematical or technical background. Written from a computer science and statistics point of view, the text stresses links to contiguous fields and can easily serve as a first course for students in economics and management. The opening chapter sets the stage, presenting the basic concepts in a clear and objective way and tackling important -- yet rarely addressed -- questions related to the use of neural networks in practical situations. Subsequent chapters on supervised learning (single layer and multilayer networks), unsupervised learning, and associative models are structured around classes of problems to which networks can be applied. Applications are discussed along with the algorithms. A separate chapter takes up optimization methods. The most frequently used algorithms, such as backpropagation, are introduced early on, right after perceptrons, so that these can form the basis for initiating course projects. Algorithms published as late as 1995 are also included. All of the algorithms are presented using block-structured pseudo-code, and exercises are provided throughout. Software implementing many commonly used neural network algorithms is available at the book's website. Transparency masters, including abbreviated text and figures for the entire book, are available for instructors using the text.

Author : David W. Pearson,Nigel C. Steele,Rudolf Albrecht
Publisher : Springer Science & Business Media
Page : 284 pages
File Size : 49,9 Mb
Release : 2003-04-08
Category : Computers
ISBN : 3211007431

Get Book

Artificial Neural Nets and Genetic Algorithms by David W. Pearson,Nigel C. Steele,Rudolf Albrecht Pdf

The papers in this volume present theoretical aspects and applications of artificial neural networks and genetic algorithms. Also included are papers on fuzzy logic, soft computing, and artificial intelligence. Fundamental issues are addressed, such as the nonlinear approximation capabilities of neural networks and formal methods of data representation with topological properties. New elements in genetic algorithms are presented, for example, crossover methods and gene representation. Papers on applications of neural networks show how successful these methods are in a wide range of fields like meteorological and atmospheric pollution forecasts, furnace control, and system identification. Genetic algorithms are used to solve optimization problems related to shipping and computer vision. Fuzzy-logic-based techniques are applied to sociodynamic models and hybrid neuro-fuzzy models.

Author : Vlahavas, Ioannis,Vrakas, Dimitris
Publisher : IGI Global
Page : 388 pages
File Size : 40,5 Mb
Release : 2008-01-31
Category : Education
ISBN : 9781599047072

Get Book

Artificial Intelligence for Advanced Problem Solving Techniques by Vlahavas, Ioannis,Vrakas, Dimitris Pdf

One of the most important functions of artificial intelligence, automated problem solving, consists mainly of the development of software systems designed to find solutions to problems. These systems utilize a search space and algorithms in order to reach a solution. Artificial Intelligence for Advanced Problem Solving Techniques offers scholars and practitioners cutting-edge research on algorithms and techniques such as search, domain independent heuristics, scheduling, constraint satisfaction, optimization, configuration, and planning, and highlights the relationship between the search categories and the various ways a specific application can be modeled and solved using advanced problem solving techniques.

Author : Amanda J.C. Sharkey
Publisher : Springer Science & Business Media
Page : 300 pages
File Size : 44,5 Mb
Release : 2012-12-06
Category : Computers
ISBN : 9781447107934

Get Book

Combining Artificial Neural Nets by Amanda J.C. Sharkey Pdf

This volume, written by leading researchers, presents methods of combining neural nets to improve their performance. The techniques include ensemble-based approaches, where a variety of methods are used to create a set of different nets trained on the same task, and modular approaches, where a task is decomposed into simpler problems. The techniques are also accompanied by an evaluation of their relative effectiveness and their application to a variety of problems.

Author : Nikola K. Kasabov
Publisher : Marcel Alencar
Page : 581 pages
File Size : 54,6 Mb
Release : 1996
Category : Artificial intelligence
ISBN : 9780262112123

Get Book

Foundations of Neural Networks, Fuzzy Systems, and Knowledge Engineering by Nikola K. Kasabov Pdf

Combines the study of neural networks and fuzzy systems with symbolic artificial intelligence (AI) methods to build comprehensive AI systems. Describes major AI problems (pattern recognition, speech recognition, prediction, decision-making, game-playing) and provides illustrative examples. Includes applications in engineering, business and finance.

Author : Snehashish Chakraverty,Sumit Kumar Jeswal
Publisher : World Scientific
Page : 192 pages
File Size : 53,6 Mb
Release : 2021-01-26
Category : Computers
ISBN : 9789811230226

Get Book

Applied Artificial Neural Network Methods For Engineers And Scientists: Solving Algebraic Equations by Snehashish Chakraverty,Sumit Kumar Jeswal Pdf

The aim of this book is to handle different application problems of science and engineering using expert Artificial Neural Network (ANN). As such, the book starts with basics of ANN along with different mathematical preliminaries with respect to algebraic equations. Then it addresses ANN based methods for solving different algebraic equations viz. polynomial equations, diophantine equations, transcendental equations, system of linear and nonlinear equations, eigenvalue problems etc. which are the basic equations to handle the application problems mentioned in the content of the book. Although there exist various methods to handle these problems, but sometimes those may be problem dependent and may fail to give a converge solution with particular discretization. Accordingly, ANN based methods have been addressed here to solve these problems. Detail ANN architecture with step by step procedure and algorithm have been included. Different example problems are solved with respect to various application and mathematical problems. Convergence plots and/or convergence tables of the solutions are depicted to show the efficacy of these methods. It is worth mentioning that various application problems viz. Bakery problem, Power electronics applications, Pole placement, Electrical Network Analysis, Structural engineering problem etc. have been solved using the ANN based methods.