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Engineering Design Reliability Handbook
Engineering Design Reliability Handbook

Researchers in the engineering industry and academia are making important advances on reliability-based design and modeling of uncertainty when data is limited. Non deterministic approaches have enabled industries to save billions by reducing design and warranty costs and by improving quality.

Considering the lack of
...

Application of Agents and Intelligent Information Technologies
Application of Agents and Intelligent Information Technologies
The Web has sparked renewed interest in developing intelligent information systems that enable users to accomplish complex tasks in Web-centric environments with relative ease. Although artificially intelligent (AI) technologies such as expert systems and neural networks have been successfully used in aerospace, communication, medical, and...
Soft Methods for Handling Variability and Imprecision (Advances in Soft Computing)
Soft Methods for Handling Variability and Imprecision (Advances in Soft Computing)
Probability theory has been the only well-founded theory of uncertainty for a long time. It was viewed either as a powerful tool for modelling random phenomena, or as a rational approach to the notion of degree of belief. During the last thirty years, in areas centered around decision theory, artificial intelligence and information processing,...
Expert Systems in Chemistry Research
Expert Systems in Chemistry Research
Expert systems allow scientists to access, manage, and apply data and specialized knowledge from various disciplines to their own research. Expert Systems in Chemistry Research explains the general scientific basis and computational principles behind expert systems and demonstrates how they can improve the efficiency of scientific workflows and...
Kalman Filter Recent Advances and Applications
Kalman Filter Recent Advances and Applications
The discussion about the manned spacecraft program was initiated at NASA in 1959. Only one year later, Dr. Kalman and Dr. Schmidt linked the linear Kalman filter and the perturbation theory in order to obtain the Kalman-Schmidt filter, currently known as the extended Kalman filter. This approach would be implemented in 1961 using an...
New Challenges in Applied Intelligence Technologies (Studies in Computational Intelligence)
New Challenges in Applied Intelligence Technologies (Studies in Computational Intelligence)
The field of intelligence technologies covers a variety of computational approaches that are often suggested and inspired by biological systems, exhibiting functional richness and flexibility of natural behavior. This class of technologies consists of such important approaches as data mining algorithms, neural networks, genetic algorithms, fuzzy...
Excel Best Practices for Business: Covers Excel 2003, 2002, and 2000
Excel Best Practices for Business: Covers Excel 2003, 2002, and 2000

Everything you need to know about

  • Implementing the new XML features in Spreadsheet Portals and Web Services
  • Auditing spreadsheets provided by third parties
  • Making spreadsheets accessible to individuals with disabilities
  • Performing spreadsheet makeovers
  • Constructing...
Data Mining in Public and Private Sectors: Organizational and Government Applications (Premier Reference Source)
Data Mining in Public and Private Sectors: Organizational and Government Applications (Premier Reference Source)

Data mining has developed rapidly and has become very popular in the past two decades, but actually has its origin in the early stages of IT, then being mostly limited to one-dimensional searching in databases. The statistical basis of what is now also referred to as data mining has often been laid centuries ago. In corporate...

Intelligent Systems and Technologies: Methods and Applications (Studies in Computational Intelligence)
Intelligent Systems and Technologies: Methods and Applications (Studies in Computational Intelligence)
Intelligent systems and technologies are increasing finding their ways in our daily lives. This book presents a sample of recent research results from key researchers. The contributions include: Introduction to intelligent systems; A Fuzzy Density Analysis of Subgroups by means of DNA Oligonucleotides; Evolution of Cooperating Classification Rules...
Scalable Fuzzy Algorithms for Data Management and Analysis: Methods and Design
Scalable Fuzzy Algorithms for Data Management and Analysis: Methods and Design
Today, fuzzy methods are of common use as they provide tools to handle data sets in a relevant, robust, and interpretable way, making it possible to cope with both imprecision and uncertainties. Scalable Fuzzy Algorithms for Data Management and Analysis: Methods and Design presents up-to-date techniques for addressing data...
Introduction to Fuzzy Sets, Fuzzy Logic, and Fuzzy Control Systems
Introduction to Fuzzy Sets, Fuzzy Logic, and Fuzzy Control Systems
The book would certainly provide a sound and systematic introductionClearly and thoroughly written, it admirably meets the authors' stated goals and definitely deserves a place in the library of all institutions where courses on fuzzy systems and allied topics are taught. An excellent introduction to these fields via self-study.
-R. Bharath,
...
Foundations of Neural Networks, Fuzzy Systems, and Knowledge Engineering
Foundations of Neural Networks, Fuzzy Systems, and Knowledge Engineering
Here we have a comprehensive, problem-oriented, engineering perspective on the uses of neural nets, fuzzy systems, and hybrids that emphasizes practical solutions to everyday artificial intelligence (AI) problems over abstract theoretical noodling. Intended for upper-division students and postgraduates who need a...
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