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Author: Publisher: ISBN: Category : Languages : en Pages : 6
Book Description
Nondestructive assay waste characterization data generated for use in the National TRU Program must be of known and demonstrable quality. Each measurement is required to receive an independent technical review by a qualified expert. An expert system prototype has been developed to automate waste NDA data review of a passive/active neutron drum counter system. The expert system is designed to yield a confidence rating regarding measurement validity. Expert system rules are derived from data in a process involving data clustering, fuzzy logic, and genetic algorithms. Expert system performance is assessed against confidence assignments elicited from waste NDA domain experts. Performance levels varied for the active, passive shielded, and passive system assay modes of the drum counter system, ranging from 78% to 94% correct classifications.
Author: Publisher: ISBN: Category : Languages : en Pages : 6
Book Description
Nondestructive assay waste characterization data generated for use in the National TRU Program must be of known and demonstrable quality. Each measurement is required to receive an independent technical review by a qualified expert. An expert system prototype has been developed to automate waste NDA data review of a passive/active neutron drum counter system. The expert system is designed to yield a confidence rating regarding measurement validity. Expert system rules are derived from data in a process involving data clustering, fuzzy logic, and genetic algorithms. Expert system performance is assessed against confidence assignments elicited from waste NDA domain experts. Performance levels varied for the active, passive shielded, and passive system assay modes of the drum counter system, ranging from 78% to 94% correct classifications.
Author: American Association for Artificial Intelligence Publisher: ISBN: 9780262510981 Category : Computers Languages : en Pages : 1252
Book Description
AAAI proceedings describe innovative concepts, techniques, perspectives, and observations that present promising research directions in artificial intelligence.
Author: Michael Paluszek Publisher: Apress ISBN: 1484239164 Category : Computers Languages : en Pages : 358
Book Description
Harness the power of MATLAB to resolve a wide range of machine learning challenges. This book provides a series of examples of technologies critical to machine learning. Each example solves a real-world problem. All code in MATLAB Machine Learning Recipes: A Problem-Solution Approach is executable. The toolbox that the code uses provides a complete set of functions needed to implement all aspects of machine learning. Authors Michael Paluszek and Stephanie Thomas show how all of these technologies allow the reader to build sophisticated applications to solve problems with pattern recognition, autonomous driving, expert systems, and much more. What you'll learn:How to write code for machine learning, adaptive control and estimation using MATLAB How these three areas complement each other How these three areas are needed for robust machine learning applications How to use MATLAB graphics and visualization tools for machine learning How to code real world examples in MATLAB for major applications of machine learning in big data Who is this book for: The primary audiences are engineers, data scientists and students wanting a comprehensive and code cookbook rich in examples on machine learning using MATLAB.
Author: American Society of Mechanical Engineers Publisher: Institute of Electrical & Electronics Engineers(IEEE) ISBN: 9780791812464 Category : Technology & Engineering Languages : en Pages : 274
Book Description
In August 1996, ASME, in cooperation with the Office of Science and Technology (OST) of the U.S. Department of Energy, established a process and infrastructure to provide unbiased, independent, accurate and timely peer review for development of technologies supported by OST. This report covers the period ending September 30, 1997. OST is responsible for the development of environmental technology for management of waste generated within DOE, and environmental restoration of sites contaminated through pat activities of DOE and its predecessors. These technologies have far reaching global impact of the enhancement of environmental protection. In the past OST has relied on a variety of reviews to ensure that technological developments are consistent with stated goals. The establishment of a peer review program is a logical extension to these review activities. Contents includes: Manual for Peer Review; Review Reports; Final Reports; Interim Reports; Consensus Reports; Recommendations; and Bibliographic Summaries. Sampling of report topics: Alternative landfill cover demonstration; Proposals for mercury separation/removal; Plasma hearth process; Buried waste containment systems, and etc.
Author: United States. Congress. House. Committee on Science. Subcommittee on Energy and Environment Publisher: ISBN: Category : Energy development Languages : en Pages : 1114
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Author: American Association for Artificial Intelligence
Author: Michael Paluszek
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Author: United States. Congress. House. Committee on Science. Subcommittee on Energy and Environment