Neural Networks In Business

Author : Kate A. Smith,Jatinder N. D. Gupta
Publisher : IGI Global
Page : 274 pages
File Size : 40,8 Mb
Release : 2003-01-01
Category : Computers
ISBN : 1931777799

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Neural Networks in Business by Kate A. Smith,Jatinder N. D. Gupta Pdf

"For professionals, students, and academics interested in applying neural networks to a variety of business applications, this reference book introduces the three most common neural network models and how they work. A wide range of business applications and a series of global case studies are presented to illustrate the neural network models provided. Each model or technique is discussed in detail and used to solve a business problem such as managing direct marketing, calculating foreign exchange rates, and improving cash flow forecasting."

Author : G. Peter Zhang
Publisher : IGI Global
Page : 296 pages
File Size : 53,8 Mb
Release : 2004-01-01
Category : Business & Economics
ISBN : 9781591401773

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Neural Networks in Business Forecasting by G. Peter Zhang Pdf

Forecasting is one of the most important activities that form the basis for strategic, tactical, and operational decisions in all business organizations. Recently, neural networks have emerged as an important tool for business forecasting. Neural Networks in Business Forecasting provides researchers and practitioners with some recent advances in applying neural networks to business forecasting. A number of case studies demonstrating the innovative or successful applications of neural networks to many areas of business as well as methods to improve neural network forecasting performance are presented.

Author : Do, Quang Hung
Publisher : IGI Global
Page : 275 pages
File Size : 48,7 Mb
Release : 2021-01-08
Category : Computers
ISBN : 9781799832409

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Artificial Neural Network Applications in Business and Engineering by Do, Quang Hung Pdf

In today’s modernized market, various disciplines continue to search for universally functional technologies that improve upon traditional processes. Artificial neural networks are a set of statistical modeling tools that are capable of processing nonlinear data with strong accuracy. Due to their complexity, utilizing their potential was previously seen as a challenge. However, with the development of artificial intelligence, this technology has proven to be an effective and efficient problem-solving method. Artificial Neural Network Applications in Business and Engineering is an essential reference source that illustrates recent advancements of artificial neural networks in various professional fields, accompanied by specific case studies and practical examples. Featuring research on topics such as training algorithms, transportation, and computer security, this book is ideally designed for researchers, students, developers, managers, engineers, academicians, industrialists, policymakers, and educators seeking coverage on modern trends in artificial neural networks and their real-world implementations.

Author : Paulo J. G. Lisboa,Bill Edisbury,Alfredo Vellido
Publisher : World Scientific
Page : 222 pages
File Size : 52,6 Mb
Release : 2000
Category : Business & Economics
ISBN : 9789810240899

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Business Applications of Neural Networks by Paulo J. G. Lisboa,Bill Edisbury,Alfredo Vellido Pdf

Neural networks are increasingly being used in real-world business applications and, in some cases, such as fraud detection, they have already become the method of choice. Their use for risk assessment is also growing and they have been employed to visualise complex databases for marketing segmentation. This boom in applications covers a wide range of business interests -- from finance management, through forecasting, to production. The combination of statistical, neural and fuzzy methods now enables direct quantitative studies to be carried out without the need for rocket-science expertise. This book reviews the state-of-the-art in current applications of neural-network methods in three important areas of business analysis. It includes a tutorial chapter to introduce new users to the potential and pitfalls of this new technology.

Author : Gérard Dreyfus
Publisher : Springer Science & Business Media
Page : 509 pages
File Size : 45,6 Mb
Release : 2005-11-25
Category : Science
ISBN : 9783540288473

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Neural Networks by Gérard Dreyfus Pdf

Neural networks represent a powerful data processing technique that has reached maturity and broad application. When clearly understood and appropriately used, they are a mandatory component in the toolbox of any engineer who wants make the best use of the available data, in order to build models, make predictions, mine data, recognize shapes or signals, etc. Ranging from theoretical foundations to real-life applications, this book is intended to provide engineers and researchers with clear methodologies for taking advantage of neural networks in industrial, financial or banking applications, many instances of which are presented in the book. For the benefit of readers wishing to gain deeper knowledge of the topics, the book features appendices that provide theoretical details for greater insight, and algorithmic details for efficient programming and implementation. The chapters have been written by experts and edited to present a coherent and comprehensive, yet not redundant, practically oriented introduction.

Author : Raul Rojas
Publisher : Springer Science & Business Media
Page : 511 pages
File Size : 49,6 Mb
Release : 2013-06-29
Category : Computers
ISBN : 9783642610684

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Neural Networks by Raul Rojas Pdf

Neural networks are a computing paradigm that is finding increasing attention among computer scientists. In this book, theoretical laws and models previously scattered in the literature are brought together into a general theory of artificial neural nets. Always with a view to biology and starting with the simplest nets, it is shown how the properties of models change when more general computing elements and net topologies are introduced. Each chapter contains examples, numerous illustrations, and a bibliography. The book is aimed at readers who seek an overview of the field or who wish to deepen their knowledge. It is suitable as a basis for university courses in neurocomputing.

Author : Zhang, Ming
Publisher : IGI Global
Page : 542 pages
File Size : 55,8 Mb
Release : 2008-07-31
Category : Computers
ISBN : 9781599048987

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Artificial Higher Order Neural Networks for Economics and Business by Zhang, Ming Pdf

"This book is the first book to provide opportunities for millions working in economics, accounting, finance and other business areas education on HONNs, the ease of their usage, and directions on how to obtain more accurate application results. It provides significant, informative advancements in the subject and introduces the HONN group models and adaptive HONNs"--Provided by publisher.

Author : Xiang-Sun Zhang
Publisher : Springer Science & Business Media
Page : 369 pages
File Size : 50,8 Mb
Release : 2013-03-09
Category : Science
ISBN : 9781475731675

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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 : Radford M. Neal
Publisher : Springer Science & Business Media
Page : 194 pages
File Size : 48,9 Mb
Release : 2012-12-06
Category : Mathematics
ISBN : 9781461207450

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Bayesian Learning for Neural Networks by Radford M. Neal Pdf

Artificial "neural networks" are widely used as flexible models for classification and regression applications, but questions remain about how the power of these models can be safely exploited when training data is limited. This book demonstrates how Bayesian methods allow complex neural network models to be used without fear of the "overfitting" that can occur with traditional training methods. Insight into the nature of these complex Bayesian models is provided by a theoretical investigation of the priors over functions that underlie them. A practical implementation of Bayesian neural network learning using Markov chain Monte Carlo methods is also described, and software for it is freely available over the Internet. Presupposing only basic knowledge of probability and statistics, this book should be of interest to researchers in statistics, engineering, and artificial intelligence.

Author : Kamruzzaman, Joarder,Begg, Rezaul,Sarker, Ruhul
Publisher : IGI Global
Page : 299 pages
File Size : 51,9 Mb
Release : 2006-03-31
Category : Computers
ISBN : 9781591406723

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Artificial Neural Networks in Finance and Manufacturing by Kamruzzaman, Joarder,Begg, Rezaul,Sarker, Ruhul Pdf

"This book presents a variety of practical applications of neural networks in two important domains of economic activity: finance and manufacturing"--Provided by publisher.

Author : G. Peter Zhang
Publisher : IGI Global
Page : 311 pages
File Size : 43,5 Mb
Release : 2004-01-01
Category : Computers
ISBN : 9781591401766

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Neural Networks in Business Forecasting by G. Peter Zhang Pdf

Forecasting is one of the most important activities that form the basis for strategic, tactical, and operational decisions in all business organizations. Recently, neural networks have emerged as an important tool for business forecasting. There are considerable interests and applications in forecasting using neural networks. Neural Networks in Business Forecasting provides for researchers and practitioners some recent advances in applying neural networks to business forecasting. A number of case studies demonstrating the innovative or successful applications of neural networks to many areas of business as well as methods to improve neural network forecasting performance are presented.

Author : Anonim
Publisher : Unknown
Page : 106 pages
File Size : 45,8 Mb
Release : 2000
Category : Business
ISBN : OCLC:44524438

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Neural Networks in Business by Anonim Pdf

Author : Berndt Müller,Joachim Reinhardt,Michael T. Strickland
Publisher : Springer Science & Business Media
Page : 340 pages
File Size : 52,6 Mb
Release : 2012-12-06
Category : Computers
ISBN : 9783642577604

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Neural Networks by Berndt Müller,Joachim Reinhardt,Michael T. Strickland Pdf

Neural Networks presents concepts of neural-network models and techniques of parallel distributed processing in a three-step approach: - A brief overview of the neural structure of the brain and the history of neural-network modeling introduces to associative memory, preceptrons, feature-sensitive networks, learning strategies, and practical applications. - The second part covers subjects like statistical physics of spin glasses, the mean-field theory of the Hopfield model, and the "space of interactions" approach to the storage capacity of neural networks. - The final part discusses nine programs with practical demonstrations of neural-network models. The software and source code in C are on a 3 1/2" MS-DOS diskette can be run with Microsoft, Borland, Turbo-C, or compatible compilers.

Author : Do, Quang Hung
Publisher : IGI Global
Page : 275 pages
File Size : 53,8 Mb
Release : 2021-01-08
Category : Computers
ISBN : 9781799832409

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Artificial Neural Network Applications in Business and Engineering by Do, Quang Hung Pdf

In today’s modernized market, various disciplines continue to search for universally functional technologies that improve upon traditional processes. Artificial neural networks are a set of statistical modeling tools that are capable of processing nonlinear data with strong accuracy. Due to their complexity, utilizing their potential was previously seen as a challenge. However, with the development of artificial intelligence, this technology has proven to be an effective and efficient problem-solving method. Artificial Neural Network Applications in Business and Engineering is an essential reference source that illustrates recent advancements of artificial neural networks in various professional fields, accompanied by specific case studies and practical examples. Featuring research on topics such as training algorithms, transportation, and computer security, this book is ideally designed for researchers, students, developers, managers, engineers, academicians, industrialists, policymakers, and educators seeking coverage on modern trends in artificial neural networks and their real-world implementations.

Author : Alan Murray
Publisher : Springer Science & Business Media
Page : 324 pages
File Size : 43,5 Mb
Release : 2013-04-17
Category : Science
ISBN : 9781475723793

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Applications of Neural Networks by Alan Murray Pdf

Applications of Neural Networks gives a detailed description of 13 practical applications of neural networks, selected because the tasks performed by the neural networks are real and significant. The contributions are from leading researchers in neural networks and, as a whole, provide a balanced coverage across a range of application areas and algorithms. The book is divided into three sections. Section A is an introduction to neural networks for nonspecialists. Section B looks at examples of applications using `Supervised Training'. Section C presents a number of examples of `Unsupervised Training'. For neural network enthusiasts and interested, open-minded sceptics. The book leads the latter through the fundamentals into a convincing and varied series of neural success stories -- described carefully and honestly without over-claiming. Applications of Neural Networks is essential reading for all researchers and designers who are tasked with using neural networks in real life applications.