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Seismic Data Analysis by Using Computational Intelligence: Neural Network and Genetic Algorithm Applications for Evaluating Earthquake Key Parameters - Softcover
Synopsis
Earthquake problems are globally considered to be a research topic of importance since many countries are subject to this natural disaster, particularly those at the ring of fire or the circum-Pacific seismic belt. In this book, the key factor for evaluating safety problem, i.e. peak ground acceleration, is estimated by using computational intelligence and microtremor measurement. The obtained results show that the estimation can be improved by incorporating global search capability of genetic algorithm in neural network computation. The contents of this book provide some basic concepts for general readers who are interested in both the seismic related problems and artificial intelligence. Also, the results presented provide valuable information for academic researchers, engineering designers in practice, government agencies, and those who need a reference to perform further work in the area investigated. Although the present scope of the study is limited to the island of Taiwan, due to the similarity of earthquake effects and recorded data, the seismic issue and the method illustrated in this book are applicable to other regions of interest around the world.
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About the Author
Ph.D: University of Southern California, USA. Currently a professor of civil engineering at National Pingtung University of Science and Technology, Taiwan. Name listed in Who?s Who in the World. Published more than 100 engineering papers, and published two travel books based on nearly 100 countries ever been visited around the world.
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- PublisherLAP LAMBERT Academic Publishing
- Publication date2010
- ISBN 10 3838383877
- ISBN 13 9783838383873
- BindingPaperback
- LanguageEnglish
- Number of pages136
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Seismic Data Analysis by Using Computational Intelligence
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LAP LAMBERT Academic Publishing Jul 2010, 2010
ISBN 10: 3838383877
ISBN 13: 9783838383873
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Earthquake problems are globally considered to be a research topic of importance since many countries are subject to this natural disaster, particularly those at the ring of fire or the circum-Pacific seismic belt. In this book, the key factor for evaluating safety problem, i.e. peak ground acceleration, is estimated by using computational intelligence and microtremor measurement. The obtained results show that the estimation can be improved by incorporating global search capability of genetic algorithm in neural network computation. The contents of this book provide some basic concepts for general readers who are interested in both the seismic related problems and artificial intelligence. Also, the results presented provide valuable information for academic researchers, engineering designers in practice, government agencies, and those who need a reference to perform further work in the area investigated. Although the present scope of the study is limited to the island of Taiwan, due to the similarity of earthquake effects and recorded data, the seismic issue and the method illustrated in this book are applicable to other regions of interest around the world. 136 pp. Englisch. Seller Inventory # 9783838383873
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Seismic Data Analysis by Using Computational Intelligence : Neural Network and Genetic Algorithm Applications for Evaluating Earthquake Key Parameters
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LAP LAMBERT Academic Publishing, 2010
ISBN 10: 3838383877
ISBN 13: 9783838383873
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Earthquake problems are globally considered to be a research topic of importance since many countries are subject to this natural disaster, particularly those at the ring of fire or the circum-Pacific seismic belt. In this book, the key factor for evaluating safety problem, i.e. peak ground acceleration, is estimated by using computational intelligence and microtremor measurement. The obtained results show that the estimation can be improved by incorporating global search capability of genetic algorithm in neural network computation. The contents of this book provide some basic concepts for general readers who are interested in both the seismic related problems and artificial intelligence. Also, the results presented provide valuable information for academic researchers, engineering designers in practice, government agencies, and those who need a reference to perform further work in the area investigated. Although the present scope of the study is limited to the island of Taiwan, due to the similarity of earthquake effects and recorded data, the seismic issue and the method illustrated in this book are applicable to other regions of interest around the world. Seller Inventory # 9783838383873
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Seismic Data Analysis by Using Computational Intelligence
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Seismic Data Analysis by Using Computational Intelligence
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ISBN 10: 3838383877
ISBN 13: 9783838383873
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Taschenbuch. Condition: Neu. Neuware -Earthquake problems are globally considered to be a research topic of importance since many countries are subject to this natural disaster, particularly those at the ring of fire or the circum-Pacific seismic belt. In this book, the key factor for evaluating safety problem, i.e. peak ground acceleration, is estimated by using computational intelligence and microtremor measurement. The obtained results show that the estimation can be improved by incorporating global search capability of genetic algorithm in neural network computation. The contents of this book provide some basic concepts for general readers who are interested in both the seismic related problems and artificial intelligence. Also, the results presented provide valuable information for academic researchers, engineering designers in practice, government agencies, and those who need a reference to perform further work in the area investigated. Although the present scope of the study is limited to the island of Taiwan, due to the similarity of earthquake effects and recorded data, the seismic issue and the method illustrated in this book are applicable to other regions of interest around the world.Books on Demand GmbH, Überseering 33, 22297 Hamburg 136 pp. Englisch. Seller Inventory # 9783838383873
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Seismic Data Analysis by Using Computational Intelligence: Neural Network and Genetic Algorithm Applications for Evaluating Earthquake Key Parameters
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ISBN 13: 9783838383873
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