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Ajoy K. Palit Do Computational Intelligence in Time Ser (Paperback) (UK IMPORT)
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eBay item number:364955205002
Item specifics
- Condition
- Book Title
- Computational Intelligence in Time Series Forecasting
- Title
- Computational Intelligence in Time Series Forecasting
- Subtitle
- Theory and Engineering Applications
- EAN
- 9781849969703
- ISBN
- 9781849969703
- Edition
- Softcover reprint of hardcover 1st ed. 2005
- Genre
- Science Nature & Math
- Topic
- Technology & Engineering
- Release Date
- 10/21/2010
- Release Year
- 2010
- Country/Region of Manufacture
- GB
- Item Height
- 235mm
- Subject Area
- Mathematics, Computers, Technology & Engineering
- Publication Name
- Computational Intelligence in Time Series Forecasting : Theory and Engineering Applications
- Publisher
- Springer London, The Limited
- Item Length
- 9.3 in
- Subject
- Computer Simulation, Intelligence (Ai) & Semantics, Electrical, Probability & Statistics / Time Series
- Publication Year
- 2010
- Series
- Advances in Industrial Control Ser.
- Type
- Textbook
- Format
- Trade Paperback
- Language
- English
- Item Weight
- 21.3 Oz
- Item Width
- 6.1 in
- Number of Pages
- Xxii, 372 Pages
About this product
Product Identifiers
Publisher
Springer London, The Limited
ISBN-10
1849969701
ISBN-13
9781849969703
eBay Product ID (ePID)
109086014
Product Key Features
Number of Pages
Xxii, 372 Pages
Publication Name
Computational Intelligence in Time Series Forecasting : Theory and Engineering Applications
Language
English
Subject
Computer Simulation, Intelligence (Ai) & Semantics, Electrical, Probability & Statistics / Time Series
Publication Year
2010
Type
Textbook
Subject Area
Mathematics, Computers, Technology & Engineering
Series
Advances in Industrial Control Ser.
Format
Trade Paperback
Dimensions
Item Weight
21.3 Oz
Item Length
9.3 in
Item Width
6.1 in
Additional Product Features
Intended Audience
Scholarly & Professional
Reviews
From the reviews:This is a monograph whose aim is of special and singular interest: to present systematic and comprehensive methods and techniques of computational intelligence and soft computing for solving forecasting and prediction problems … of time series. The book is designed to be largely self-contained and is devoted to offer researchers, practicing engineers, and applications-oriented professionals a reference volume and a valuable guide for the design, building and execution of forecasting and prediction experiments … . The entire monograph is sensibly structured … .Zentralblatt MATH 1095 (2006) (Reviewer: Neculai Curteanu), From the reviews:This is a monograph whose aim is of special and singular interest: to present systematic and comprehensive methods and techniques of computational intelligence and soft computing for solving forecasting and prediction problems of time series. The book is designed to be largely self-contained and is devoted to offer researchers, practicing engineers, and applications-oriented professionals a reference volume and a valuable guide for the design, building and execution of forecasting and prediction experiments . The entire monograph is sensibly structured .Zentralblatt MATH 1095 (2006) (Reviewer: Neculai Curteanu), From the reviews: This is a monograph whose aim is of special and singular interest: to present systematic and comprehensive methods and techniques of computational intelligence and soft computing for solving forecasting and prediction problems ... of time series. The book is designed to be largely self-contained and is devoted to offer researchers, practicing engineers, and applications-oriented professionals a reference volume and a valuable guide for the design, building and execution of forecasting and prediction experiments ... . The entire monograph is sensibly structured ... . Zentralblatt MATH 1095 (2006) (Reviewer: Neculai Curteanu)
Number of Volumes
1 vol.
Illustrated
Yes
Table Of Content
Computational Intelligence: An Introduction.- Traditional Problem Definition.- Basic Intelligent Computational Technologies.- Neural Networks Approach.- Fuzzy Logic Approach.- Evolutionary Computation.- Hybrid Computational Technologies.- Neuro-fuzzy Approach.- Transparent Fuzzy/Neuro-fuzzy Modelling.- Evolving Neural and Fuzzy Systems.- Adaptive Genetic Algorithms.- Recent Developments.- State of the Art and Development Trends.
Synopsis
Foresight in an engineering business can make the difference between success and failure, and can be vital to the effective control of industrial systems. The authors of this book harness the power of intelligent technologies individually and in combination., Foresight can be crucial in process and production control, production-and-resources planning and in management decision making generally. Although forecasting the future from accumulated historical data has become a standard and reliable method in production and financial engineering, as well as in business and management, the use of time series analysis in the on-line milieu of most industrial plants has been more problematic because of the time and computational effort required. The advent of intelligent computational technologies such as the neural network and the genetic algorithm promotes the efficient solution of on-line forecasting problems. Their most outstanding successes include: prediction of nonlinear time series and the nonlinear combination of forecasts using neural networks; prediction of chaotic time series and of output data for second-order nonlinear plant using fuzzy logic. The power of intelligent technologies applied individually and in combination, has created advanced forecasting methodologies, exemplified in Computational Intellingence in Time Series Forecasting by particular systems and processes. The authors give a comprehensive exposition of the improvements on offer in quality, model building and predictive control, and the selection of appropriate tools from the plethora available using such examples as: forecasting of electrical load and of output data for nonlinear plant with neuro-fuzzy networks; temperature prediction and correction in pyrometer reading, tool-wear monitoring and materials property prediction using hybrid intelligent technologies; evolutionary training of neuro-fuzzy networks by the use of genetic algorithms and prediction of chaotic time series; isolated use of neural networks and fuzzy logic in the nonlinear combination of traditional forecasts of temperature series obtained from a pilot-scale chemical reactor with temporarily disconnected controller. Application-oriented engineers in process control, manufacturing, the production industries and research centres will find much to interest them in Computational Intelligence in Time Series Forecasting and the book is suitable for industrial training purposes. It will also serve as valuable reference material for experimental researchers., Foresight in an engineering enterprise can make the difference between success and failure, and can be vital to the effective control of industrial systems. Applying time series analysis in the on-line milieu of most industrial plants has been problematic owing to the time and computational effort required. The advent of soft computing tools offers a solution. The authors harness the power of intelligent technologies individually and in combination. Examples of the particular systems and processes susceptible to each technique are investigated, cultivating a comprehensive exposition of the improvements on offer in quality, model building and predictive control and the selection of appropriate tools from the plethora available. Application-oriented engineers in process control, manufacturing, production industry and research centres will find much to interest them in this book. It is suitable for industrial training purposes, as well as serving as valuable reference material for experimental researchers.
LC Classification Number
Q334-342
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