Background
Butler, Charles Thomas was born on November 30, 1932 in Muskogee, Oklahoma, United States. Son of James Rufus and Vivian Hazel (Ward) Butler.
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- Works
- Photos
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book
Understanding Neural Networks
(Understanding Neural Networks is a textbook and workbook ...)
Understanding Neural Networks is a textbook and workbook that provides a unique interactive learning environment. With or without the aid of a classroom instructor, it allows students and other users to learn about neural networks while gaining practical, hands-on experience with all of the leading network models. Each model is presented as realistically as possible. Also included are chapter exercises and questions, many with illustrations. The key feature of this workbook is the software. Available for PC-ATs and compatibles and the Macintosh, these disks contain a collection of full-featured commercial-quality simulators for the most important network paradigms. The user interface is graphic and easy to use, and the simulators are consistent across all networks. The simulators can also build and train significantly large networks, allowing users to construct networks on their own with data relevant to their problems. Volume 1 covers learning, attractor networks, and hierarchical networks (including back-propagation networks). Volume 2 takes up temporal networks (including recurrent networks), self-organizing networks, higher-order networks, and such new directions in neural networks as fuzzy networks and evolutionary networks. Both volumes contain instructions on how to use the workbook, an introduction, appendixes, a table of random numbers, a glossary, a bibliography, and index.
http://www.amazon.com/gp/product/0262531003/?tag=2022091-20
Understanding Neural Networks
(Understanding Neural Networks is a textbook and workbook ...)
Understanding Neural Networks is a textbook and workbook that provides a unique interactive learning environment. With or without the aid of a classroom instructor, it allows students and other users to learn about neural networks while gaining practical, hands-on experience with all of the leading network models. Each model is presented as realistically as possible. Also included are chapter exercises and questions, many with illustrations. The key feature of this workbook is the software. Available for PC-ATs and compatibles and the Macintosh, these disks contain a collection of full-featured commercial-quality simulators for the most important network paradigms. The user interface is graphic and easy to use, and the simulators are consistent across all networks. The simulators can also build and train significantly large networks, allowing users to construct networks on their own with data relevant to their problems. Volume 1 covers learning, attractor networks, and hierarchical networks (including back-propagation networks). Volume 2 takes up temporal networks (including recurrent networks), self-organizing networks, higher-order networks, and such new directions in neural networks as fuzzy networks and evolutionary networks. Both volumes contain instructions on how to use the workbook, an introduction, appendixes, a table of random numbers, a glossary, a bibliography, and index.
http://www.amazon.com/gp/product/026253102X/?tag=2022091-20
Understanding Neural Networks
(Understanding Neural Networks is a textbook and workbook ...)
Understanding Neural Networks is a textbook and workbook that provides a unique interactive learning environment. With or without the aid of a classroom instructor, it allows students and other users to learn about neural networks while gaining practical, hands-on experience with all of the leading network models. Each model is presented as realistically as possible. Also included are chapter exercises and questions, many with illustrations. The key feature of this workbook is the software. Available for PC-ATs and compatibles and the Macintosh, these disks contain a collection of full-featured commercial-quality simulators for the most important network paradigms. The user interface is graphic and easy to use, and the simulators are consistent across all networks. The simulators can also build and train significantly large networks, allowing users to construct networks on their own with data relevant to their problems. Volume 1 covers learning, attractor networks, and hierarchical networks (including back-propagation networks). Volume 2 takes up temporal networks (including recurrent networks), self-organizing networks, higher-order networks, and such new directions in neural networks as fuzzy networks and evolutionary networks. Both volumes contain instructions on how to use the workbook, an introduction, appendixes, a table of random numbers, a glossary, a bibliography, and index.
http://www.amazon.com/gp/product/0262530996/?tag=2022091-20
Understanding Neural Networks
(Understanding Neural Networks is a textbook and workbook ...)
Understanding Neural Networks is a textbook and workbook that provides a unique interactive learning environment. With or without the aid of a classroom instructor, it allows students and other users to learn about neural networks while gaining practical, hands-on experience with all of the leading network models. Each model is presented as realistically as possible. Also included are chapter exercises and questions, many with illustrations. The key feature of this workbook is the software. Available for PC-ATs and compatibles and the Macintosh, these disks contain a collection of full-featured commercial-quality simulators for the most important network paradigms. The user interface is graphic and easy to use, and the simulators are consistent across all networks. The simulators can also build and train significantly large networks, allowing users to construct networks on their own with data relevant to their problems. Volume 1 covers learning, attractor networks, and hierarchical networks (including back-propagation networks). Volume 2 takes up temporal networks (including recurrent networks), self-organizing networks, higher-order networks, and such new directions in neural networks as fuzzy networks and evolutionary networks. Both volumes contain instructions on how to use the workbook, an introduction, appendixes, a table of random numbers, a glossary, a bibliography, and index.
http://www.amazon.com/gp/product/0262531038/?tag=2022091-20
Naturally Intelligent Systems (MIT Press)
( For centuries, people have been fascinated by the possi...)
For centuries, people have been fascinated by the possibility of building an artificial system that behaves intelligently. Now there is a new entry in this arena - neural networks. Naturally Intelligent Systems offers a comprehensive introduction to these exciting systems. It provides a technically accurate, yet down-to-earth discussion of neural networks, clearly explaining the underlying concepts of key neural network designs, how they are trained, and why they work. Throughout, the authors present actual applications that illustrate neural networks' utility in the new world.
http://www.amazon.com/gp/product/0262531135/?tag=2022091-20
Naturally Intelligent Systems by Caudill Maureen Butler Charles (1990-01-01) Hardcover
http://www.amazon.com/gp/product/B012YSIRJQ/?tag=2022091-20
Charles Thomas Butler
Edit Profile
Charles Thomas Butler, American Physicist, researcher. Achievements include patents in crystal growth and neural-network process control.
M C. Member American Association for the Advancement of Science, Institute of Electrical and Electronics Engineers, American Physical Society, International Neural Network Society.
Education
Bachelor of Science in Physics, Iowa State University, 1954; Master of Science in Physics, Texas Agricultural and Mechanical U., 1956; Doctor of Philosophy in Physics, Oklahoma State University, 1972.
Career
Senior scientist, California Institute Technology Jet Propulsion Laboratory, Pasadena, 1956-1960; physicist solid state division, Oak Ridge (Tennessee) National Laboratory, 1960-1970; assistant professor, Oklahoma State University, Stillwater, 1970-1978; associate professor, Virginia Commonwealth U., Richmond, 1978-1984; principal staff member, Business Development Manager International, McLean, Virginia, 1984-1989; principal research scientist, Physical Sciences Inc., Alexandria, Virginia, 1989-1994; independent consultant, Computational Intelligence, Reston, Virginia, since 1994.
Achievements
Works
book
-
Naturally Intelligent Systems (MIT Press)
( For centuries, people have been fascinated by the possi...)
-
Understanding Neural Networks
(Understanding Neural Networks is a textbook and workbook ...)
-
Understanding Neural Networks
(Understanding Neural Networks is a textbook and workbook ...)
-
Understanding Neural Networks
(Understanding Neural Networks is a textbook and workbook ...)
-
Understanding Neural Networks
(Understanding Neural Networks is a textbook and workbook ...)
- Naturally Intelligent Systems
- Naturally Intelligent Systems by Caudill Maureen Butler Charles (1990-01-01) Hardcover
-
Naturally Intelligent Systems (MIT Press)
Membership
Member American Association for the Advancement of Science, Institute of Electrical and Electronics Engineers, American Physical Society, International Neural Network Society.
Connections
Married Joye Ann Calvin, August 29, 1952 (divorced August 1975). Children: Elizabeth Dianne, Deborah Louise, David Calvin. Married Mary Eileen Odell, March 21, 1981.
