Download Free Design And Implementation Of Intelligent Manufacturing Systems From Expert Systems Neural Networks To Fuzzy Logic Book in PDF and EPUB Free Download. You can read online Design And Implementation Of Intelligent Manufacturing Systems From Expert Systems Neural Networks To Fuzzy Logic and write the review.

The introduction of artificial intelligence, neural networks, and fuzzy logic into industry has given a new perspective to manufacturing processes in the U.S. and abroad. To help readers keep pace, this book addresses topics of intelligent manufacturing from a variety of theoretical, empirical, design, and implementation perspectives.
This is the eBook version of the printed book. If the print book includes a CD-ROM, this content is not included within the eBook version. The introduction of artificial intelligence, neural networks, and fuzzy logic into industry has given a new perspective to manufacturing processes in the U.S. and abroad. To help readers keep pace, this book addresses topics of intelligent manufacturing from a variety of theoretical, empirical, design, and implementation perspectives.
Soft computing is a consortium of computing methodologies that provide a foundation for the conception, design, and deployment of intelligent systems and aims to formalize the human ability to make rational decisions in an environment of uncertainty and imprecision. This book is based on a NATO Advanced Study Institute held in 1996 on soft computing and its applications. The distinguished contributors consider the principal constituents of soft computing, namely fuzzy logic, neurocomputing, genetic computing, and probabilistic reasoning, the relations between them, and their fusion in industrial applications. Two areas emphasized in the book are how to achieve a synergistic combination of the main constituents of soft computing and how the combination can be used to achieve a high Machine Intelligence Quotient.
Despite the large volume of publications devoted to neural networks, fuzzy logic, and evolutionary programming, few address the applications of computational intelligence in design and manufacturing. Computational Intelligence in Manufacturing Handbook fills this void as it covers the most recent advances in this area and state-of-the-art applicati
Recently, there has been a rapid increase in interest regarding social network analysis in the data mining community. Cognitive radios are expected to play a major role in meeting this exploding traffic demand on social networks due to their ability to sense the environment, analyze outdoor parameters, and then make decisions for dynamic time, frequency, space, resource allocation, and management to improve the utilization of mining the social data. Cognitive Social Mining Applications in Data Analytics and Forensics is an essential reference source that reviews cognitive radio concepts and examines their applications to social mining using a machine learning approach so that an adaptive and intelligent mining is achieved. Featuring research on topics such as data mining, real-time ubiquitous social mining services, and cognitive computing, this book is ideally designed for social network analysts, researchers, academicians, and industry professionals.
The book presents the select proceedings of the International Conference on Advancement in Manufacturing Engineering (ICAME) 2022 held at National Institute of Technology Delhi, India, during September 2–3, 2022. It discusses the latest research in the area of industrial and production engineering. Various topics covered in this book are precision engineering, additive manufacturing, computer-aided manufacturing, digital manufacturing, intelligent control systems and optimization, flexible manufacturing system, smart manufacturing, hybrid machining, smart materials, polymers, ceramics and composites and their processing, energy harvesting materials, design thinking and prototyping, product life cycle strategies, Industry 4.0, etc. The book is useful for researchers and professionals working in the area of industrial and production engineering.
As we move towards the 21st century, industries are compelled to turn from "high productivity and high precision" to "more intelligent and more human-oriented technology". This volume presents the existing state of the art of production/precision engineering and illuminates areas in which future work may proceed.
Provides an up-to-date integration of expert systems with fuzzy logic and neural networks. Includes coverage of simulation models not present in other books. Presents cases and examples taken from the authors' experience in research and applying the technology to real-world situations.