Design and Development of Expert Systems and Neural Networks - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Design and Development of Expert Systems and Neural Networks write by L. R. Medsker. This book was released on 1994. Design and Development of Expert Systems and Neural Networks available in PDF, EPUB and Kindle. This book gives readers and practitioners the tools they need to develop appropriate applications and systems. It also explores managing and institutionalizing expert system development and usage.
Neural Network Learning and Expert Systems
Neural Network Learning and Expert Systems - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Neural Network Learning and Expert Systems write by Stephen I. Gallant. This book was released on 1993. Neural Network Learning and Expert Systems available in PDF, EPUB and Kindle. presents a unified and in-depth development of neural network learning algorithms and neural network expert systems
Hybrid Neural Network and Expert Systems
Hybrid Neural Network and Expert Systems - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Hybrid Neural Network and Expert Systems write by Larry R. Medsker. This book was released on 2012-12-06. Hybrid Neural Network and Expert Systems available in PDF, EPUB and Kindle. Hybrid Neural Network and Expert Systems presents the basics of expert systems and neural networks, and the important characteristics relevant to the integration of these two technologies. Through case studies of actual working systems, the author demonstrates the use of these hybrid systems in practical situations. Guidelines and models are described to help those who want to develop their own hybrid systems. Neural networks and expert systems together represent two major aspects of human intelligence and therefore are appropriate for integration. Neural networks represent the visual, pattern-recognition types of intelligence, while expert systems represent the logical, reasoning processes. Together, these technologies allow applications to be developed that are more powerful than when each technique is used individually. Hybrid Neural Network and Expert Systems provides frameworks for understanding how the combination of neural networks and expert systems can produce useful hybrid systems, and illustrates the issues and opportunities in this dynamic field.
Fuzzy Engineering Expert Systems with Neural Network Applications
Fuzzy Engineering Expert Systems with Neural Network Applications - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Fuzzy Engineering Expert Systems with Neural Network Applications write by Adedeji Bodunde Badiru. This book was released on 2002-10-08. Fuzzy Engineering Expert Systems with Neural Network Applications available in PDF, EPUB and Kindle. 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.
Expert Systems
Expert Systems - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Expert Systems write by Cornelius T. Leondes. This book was released on 2001-09-26. Expert Systems available in PDF, EPUB and Kindle. This six-volume set presents cutting-edge advances and applications of expert systems. Because expert systems combine the expertise of engineers, computer scientists, and computer programmers, each group will benefit from buying this important reference work. An "expert system" is a knowledge-based computer system that emulates the decision-making ability of a human expert. The primary role of the expert system is to perform appropriate functions under the close supervision of the human, whose work is supported by that expert system. In the reverse, this same expert system can monitor and double check the human in the performance of a task. Human-computer interaction in our highly complex world requires the development of a wide array of expert systems. Expert systems techniques and applications are presented for a diverse array of topics including Experimental design and decision support The integration of machine learning with knowledge acquisition for the design of expert systems Process planning in design and manufacturing systems and process control applications Knowledge discovery in large-scale knowledge bases Robotic systems Geograhphic information systems Image analysis, recognition and interpretation Cellular automata methods for pattern recognition Real-time fault tolerant control systems CAD-based vision systems in pattern matching processes Financial systems Agricultural applications Medical diagnosis
