Neural Networks in Business

Neural Networks in Business PDF

Author: Kate A. Smith

Publisher: IGI Global

Published: 2003-01-01

Total Pages: 274

ISBN-13: 9781931777797

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"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."

Introduction to Neural Networks and Data Mining for Business Applications

Introduction to Neural Networks and Data Mining for Business Applications PDF

Author: Kate A. Smith

Publisher:

Published: 1999

Total Pages: 155

ISBN-13: 9781864910049

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Neural networks are a hot topic in the business community today. Also marketed as intelligent techniques, business intelligence and data mining, many businesses are now realising the potential of neural networks to give them a competitive edge. Nevertheless most neural network books are written by electrical engineers for electrical engineers, with a high level of mathematics. Those few books aimed at the business community invariably focus exclusively on financial prediction. Consequently, Introduction to Neural Networks and Data Mining for Business Applications is a ground breaking text. With a minimum of mathematics, it shows the potential of neural networks to unlock hidden information in data of various industries including retail, marketing, insurance, telecommunications, banking and finance, and operations management. The book covers the development of neural network research and its impact on business; the early neural Perceptron model and its limitations; backpropagation, the most commonly used learning paradigm in business applications; self-organisation; and adaptive resonance theory. Data mining is then covered including the purpose, methodology, and concepts of directed and undirected knowledge discovery. Other intelligent techniques often used in conjunction with neural networks are also covered, including genetic algorithms, fuzzy logic, and expert systems. The text concludes with a discussion of the future of neural networks research and applications. Extensive business case studies are used throughout the text to demonstrate techniques.

Business Applications Of Neural Networks: The State-of-the-art Of Real-world Applications

Business Applications Of Neural Networks: The State-of-the-art Of Real-world Applications PDF

Author: Bill Edisbury

Publisher: World Scientific

Published: 2000-08-30

Total Pages: 222

ISBN-13: 9814494224

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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.

Neural Networks in Business Forecasting

Neural Networks in Business Forecasting PDF

Author: G. Peter Zhang

Publisher: IGI Global

Published: 2004-01-01

Total Pages: 311

ISBN-13: 1591401763

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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.

Artificial Neural Network Applications in Business and Engineering

Artificial Neural Network Applications in Business and Engineering PDF

Author: Do, Quang Hung

Publisher: IGI Global

Published: 2021-01-08

Total Pages: 275

ISBN-13: 1799832406

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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.

Knowledge-based Systems and Neural Networks

Knowledge-based Systems and Neural Networks PDF

Author: Ramesh Sharda

Publisher: Elsevier Publishing Company

Published: 1991

Total Pages: 320

ISBN-13:

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With countless applications, knowledge-based systems are undergoing an explosive rate of growth. Thousands of organizations in business, government and military are using these systems. Neural networks, though newer, are experiencing the same kind of growth and are assuredly not lagging far behind. This book presents recent advances in techniques and applications implemented in both knowledge-based systems and neural networks. The book will be of particular interest to researchers and practitioners working on and with artificial intelligence.

Deep Learning and Neural Networks: Concepts, Methodologies, Tools, and Applications

Deep Learning and Neural Networks: Concepts, Methodologies, Tools, and Applications PDF

Author: Management Association, Information Resources

Publisher: IGI Global

Published: 2019-10-11

Total Pages: 1671

ISBN-13: 1799804151

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Due to the growing use of web applications and communication devices, the use of data has increased throughout various industries. It is necessary to develop new techniques for managing data in order to ensure adequate usage. Deep learning, a subset of artificial intelligence and machine learning, has been recognized in various real-world applications such as computer vision, image processing, and pattern recognition. The deep learning approach has opened new opportunities that can make such real-life applications and tasks easier and more efficient. Deep Learning and Neural Networks: Concepts, Methodologies, Tools, and Applications is a vital reference source that trends in data analytics and potential technologies that will facilitate insight in various domains of science, industry, business, and consumer applications. It also explores the latest concepts, algorithms, and techniques of deep learning and data mining and analysis. Highlighting a range of topics such as natural language processing, predictive analytics, and deep neural networks, this multi-volume book is ideally designed for computer engineers, software developers, IT professionals, academicians, researchers, and upper-level students seeking current research on the latest trends in the field of deep learning.

Neural Nets: Applications in Geography

Neural Nets: Applications in Geography PDF

Author: Bruce C. Hewitson

Publisher: Springer Science & Business Media

Published: 1994

Total Pages: 216

ISBN-13: 9780792327462

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Neural nets offer a new strategy for spatial analysis, and their application holds enormous potential for the geographic sciences. However, the number of studies that have utilized these techniques is limited. This lack of interest can be attributed, in part, to lack of exposure, to the use of extensive and often confusing jargon, and to the misapprehension that, without an underlying statistical model, the explanatory power of the neural net is very low. This text attacks all three issues, demonstrating a wide variety of neural net applications in geography in a simple manner, with minimal jargon.

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