Home | Amazing | Today | Tags | Publishers | Years | Account | Search 
Advances in Computational Intelligence: Theory And Applications
Advances in Computational Intelligence: Theory And Applications
Computational Intelligence (CI) is a recently emerging area in fundamental and applied research, exploiting a number of advanced information processing technologies that mainly embody neural networks, fuzzy logic and evolutionary computation. With a major concern to exploiting the tolerance for imperfection, uncertainty, and partial truth to...
Troubleshooting PostgreSQL
Troubleshooting PostgreSQL

Intercept problems and challenges typically faced by PostgreSQL database administrators with the best troubleshooting techniques

About This Book

  • Detect and solve performance, indexing, and fuzzy matches problems and more in an effective way
  • Tune PostgreSQL databases and remove bottlenecks...
Fuzzy Equational Logic (Studies in Fuzziness and Soft Computing)
Fuzzy Equational Logic (Studies in Fuzziness and Soft Computing)
The present book deals with algebras, congruences, morphisms, reasoning about identities, classes of algebras and their axiomatizability, etc., from the point of view of fuzzy logic. We therefore deal with topics traditionally studied in universal algebra. Our approach is the following. In classical universal algebra, one works in bivalent setting....
Rough Sets, Fuzzy Sets, Data Mining and Granular Computing: 11th International Conference, RSFDGrC 2007, Toronto, Canada, May 14-16, 2007
Rough Sets, Fuzzy Sets, Data Mining and Granular Computing: 11th International Conference, RSFDGrC 2007, Toronto, Canada, May 14-16, 2007
This book constitutes the refereed proceedings of the 11th International Conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing, RSFDGrC 2007, held in Toronto, Canada in May 2007 in conjunction with the Second International Conference on Rough Sets and Knowledge Technology, RSKT 2007, both as part of the Joint Rough Set...
Soft Computing in Image Processing (Studies in Fuzziness and Soft Computing)
Soft Computing in Image Processing (Studies in Fuzziness and Soft Computing)

Images have always been very important in human life. Their applications range from primitive communication between humans of all ages to advanced technologies in the industrial, medical and military field. The increased possibilities to capture and analyze images have contributed to the largeness that the scientific field of image processing...

Knowledge-Based Neurocomputing: A Fuzzy Logic Approach (Studies in Fuzziness and Soft Computing)
Knowledge-Based Neurocomputing: A Fuzzy Logic Approach (Studies in Fuzziness and Soft Computing)
In this monograph, the authors introduce a novel fuzzy rule-base, referred to as the Fuzzy All-permutations Rule-Base (FARB). They show that inferring the FARB, using standard tools from fuzzy logic theory, yields an input-output map that is mathematically equivalent to that of an artificial neural network. Conversely, every standard...
Multiple Criteria Decision Analysis:State of the Art Surveys (International Series in Operations Research & Management Science)
Multiple Criteria Decision Analysis:State of the Art Surveys (International Series in Operations Research & Management Science)
ULTIPLE CRITERIA DECISION ANALYSIS: State of the Art Surveys is the most comprehensive work available to survey the state of the art in MCDA to date. Its 25 chapters are organized in eight parts and are written by 52 international leading experts. Each of these parts covers one of the central streams of multiple criteria decision analysis...
Agent-Based Hybrid Intelligent Systems
Agent-Based Hybrid Intelligent Systems
Many complex problems, such as financial investment planning, involve many different components or sub-tasks, each of which requires different types of processing. To solve such complex problems, a great diversity of intelligent techniques, including traditional hard computing techniques (e.g., expert systems) and soft computing techniques (e.g.,...
Data Modeling for Metrology and Testing in Measurement Science
Data Modeling for Metrology and Testing in Measurement Science
This book and companion DVD provide a comprehensive set of modeling methods for data and uncertainty analysis, taking readers beyond mainstream methods described in standard texts. The emphasis throughout is on techniques having a broad range of real-world applications in measurement science. Mainstream methods of data modeling and analysis...
Fuzzy Logic and Probability Applications: A Practical Guide
Fuzzy Logic and Probability Applications: A Practical Guide

Probability theory and fuzzy logic are the principal components of an array of methodologies for dealing with problems in which uncertainty and imprecision play important roles. In relation to probability theory, fuzzy logic is a new kid on the block. As such, it has been and continues to be, though to a lesser degree, an object of...

Computational Intelligence in Time Series Forecasting: Theory and Engineering Applications
Computational Intelligence in Time Series Forecasting: Theory and Engineering Applications

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...

Fuzzy Sets in Management, Economy & Marketing
Fuzzy Sets in Management, Economy & Marketing

The rapid changes that have taken place globally on the economic, social and business fronts characterized the 20th century. The magnitude of these changes has formed an extremely complex and unpredictable decision-making framework, which is difficult to model through traditional approaches. The main purpose of this book is to present the...

Result Page: 26 25 24 23 22 21 20 19 18 17 16 15 14 
©2019 LearnIT (support@pdfchm.net) - Privacy Policy