A breakthrough on today's fastest growing artificial intelligence technique Many of today's engineering and business computer applications require decisions to be made on the basis of uncertain or incomplete information, a phenomenon that has resulted in the development of case-based reasoning, a po
Soft Computing in Case Based Reasoning
โ Scribed by Julie Main, Tharam S. Dillon, Simon C. K. Shiu (auth.), Sankar K. Pal MTech, PhD, DIC, Fellow IEEE, Tharam S. Dillon BE, PhD, FSaRS, FIE, SMIEEE, Daniel S. Yeung BA, MA, MSc, MBA, PhD, FHKIE (eds.)
- Publisher
- Springer-Verlag London
- Year
- 2001
- Tongue
- English
- Leaves
- 379
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Synopsis
Soft Computing in Case Based Reasoning demonstrates how various soft computing tools can be applied to design and develop methodologies and systems with case based reasoning for real-life decision-making or recognition problems.
Comprising contributions from experts from all over the world, it:
- Provides an introduction to CBR and soft computing, and the relevance of their integration
- Evaluates the strengths and weaknesses of CBR in its current form
- Presents recent developments and significant applications in domains such as data-mining, medical diagnosis, knowledge-based expert systems, banking, and forensic investigation
- Addresses new information on developing intelligent systems
This book will be of particular interest to graduate students and researchers in computer science, electrical engineering and information technology but it will also be of interest to researchers and practitioners in the fields of systems design, pattern recognition and data mining.
โฆ Table of Contents
Front Matter....Pages i-xix
A Tutorial on Case Based Reasoning....Pages 1-28
On the Notion of Similarity in Case Based Reasoning and Fuzzy Theory....Pages 29-45
Formalizing Case Based Inference Using Fuzzy Rules....Pages 47-72
Hybrid Approaches for Integrating Neural Networks and Case Based Reasoning: From Loosely Coupled to Tightly Coupled Models....Pages 73-94
Towards Integration of Memory Based Learning and Neural Networks....Pages 95-114
A Genetic Algorithm and Growing Cell Structure Approach to Learning Case Retrieval Structures....Pages 115-146
An Architecture for Hybrid Creative Reasoning....Pages 147-177
Teacher: A Genetics Based System for Learning and Generalizing Heuristics....Pages 179-211
Fuzzy Logic Based Neural Network for Case Based Reasoning....Pages 213-240
Case Based Systems: A Neuro-Fuzzy Method for Selecting Cases....Pages 241-257
Neuro-Fuzzy Approach for Maintaining Case Bases....Pages 259-273
A Neuro-Fuzzy Methodology for Case Retrieval and an Object-Oriented Case Schema for Structuring Case Bases and their Application to Fashion Footwear Design....Pages 275-291
Adaptation of Cases for Case Based Forecasting with Neural Network Support....Pages 293-319
Armchair Mission to Mars: Using Case Based Reasoning and Fuzzy Logic to Simulate a Time Series Model of Astronaut Crews....Pages 321-334
Applications of Soft CBR at General Electric....Pages 335-365
Back Matter....Pages 367-372
โฆ Subjects
Artificial Intelligence (incl. Robotics)
๐ SIMILAR VOLUMES
WCBR-93, Kaiserslautern, Germany, November 1-5, 1993. Selected PapersThis volume presents the 36 full refereed papers selected from the presentations at the First European Workshop on Case-Based Reasoning, held at Kaiserslautern, Germany in November 1993.Case-based reasoning (CBR) has recently attra
<p>Case-based reasoning is one of the fastest growing areas in the field of knowledge-based systems and this book, authored by a leader in the field, is the first comprehensive text on the subject. Case-based reasoning systems are systems that store information about situations in their memory. As
<span>Case-based reasoning (CBR) is an Artificial Intelligence (AI) technique to support the capability of reasoning and learning in advanced decision support systems. CBR exploits the specific knowledge collected on previously encountered and solved situations, which are known as cases. In this boo
Case-based reasoning (CBR) has received a great deal of attention in recent years and has established itself as a core methodology in the field of artificial intelligence. The key idea of CBR is to tackle new problems by referring to similar problems that have already been solved in the past. More p