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Business/Investing Nature-Inspired Informatics for Intelligent Applications and Knowledge Discovery

Posted on 2010-03-16




Name:Business/Investing Nature-Inspired Informatics for Intelligent Applications and Knowledge Discovery
ASIN/ISBN:1605667056
Language:English
File size:10.6 Mb
Language: English
Publish Date: 2009-07-31
ISBN: 1605667056
Pages: 500 pages
File Type: PDF
File Size: 10,6 MB
Other Info: Information Science Reference
   Business/Investing Nature-Inspired Informatics for Intelligent Applications and Knowledge Discovery

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Raymond Chiong "Nature-Inspired Informatics for Intelligent Applications and Knowledge Discovery: Implications in Business, Science, and Engineering"

Recently, nature has stimulated many successful techniques, algorithms, and computational applications allowing conventionally difficult problems to be solved through novel computing systems.

Nature-Inspired Informatics for Intelligent Applications and Knowledge Discovery: Implications in Business, Science, and Engineering provides the latest findings in nature-inspired algorithms and their applications for breakthroughs in a wide range of disciplinary fields. This defining reference collection contains chapters written by leading researchers and well-known academicians within the field, offering readers a valuable and enriched accumulation of knowledge.

Section I: Introduction

Chapter I: Nature that Breeds Solutions

Section II: Nature-Inspired Solutions in Business

Chapter II: An Application of Genetic Programming to Forecasting Foreign Exchange Rates

Chapter III: Intelligent Business Process Execution using Particle Swarm Optimization

Section III: Nature-Inspired Solutions in Science

Chapter IV: An Artificial Life-Based Vegetation Modelling Approach for Biodiversity Research

Chapter V: Multimodal Genetic Algorithms for Craniofacial Superimposition

Chapter VI: Neural Networks in Medicine: Improving Difficult Automated Detection of Cancer in the Bile Ducts

Chapter VII: Solving Complex Problems in Human Genetics Using Nature-Inspired Algorithms Requires Strategies which Exploit Domain-Specific Knowledge

Section IV: Nature-Inspired Solutions in Computing & Engineering

Chapter VIII: AGE-P: An Evolutionary Platform for the Self-Organization of Smart-Appliance Ensembles

Chapter IX: Modelling Biological Processes Naturally using Systemic Computation: Genetic Algorithms, Neural Networks, and Artificial Immune Systems

Chapter X: Noble Ape's Cognitive Simulation: From Agar to Dreaming and Beyond

Chapter XI: Genetic Programming for Robust Text Independent Speaker Verification

Chapter XII: Combinational Circuit Design with Estimation of Distribution Algorithms

Chapter XIII: From the Real Ant to the Artificial Ant: Applications in Combinatorial Optimization, Data Clustering, Collective Robotics and Image Processing

Chapter XIV: Nature-Inspired Informatics for Telecommunication Network Design

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