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Condition: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.
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Condition: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.
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£ 62.33
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Add to baskethardcover. Condition: Gut. 343 Seiten; 9783527339587.3 Gewicht in Gramm: 2.
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Condition: New. pp. 368.
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Seismic Data Analysis by Using Computational Intelligence: Neural Network and Genetic Algorithm Applications for Evaluating Earthquake Key Parameters
Published by LAP LAMBERT Academic Publishing, 2010
ISBN 10: 3838383877 ISBN 13: 9783838383873
Language: English
£ 101
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Add to basketOriginal-Pappband. Condition: Sehr gut. gr8 Original-Pappband en Biologie, Chemie, Medizin (Quantitative and Network Biology. Vol. 7); XVII pp., 343 pp.
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£ 195
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International Edition£ 236.48
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Add to basketHardcover. Condition: New. Brand New ! Fast Delivery "International Edition " and ship within 24-48 hours. Deliver by FedEx and Dhl, & Aramex, UPS, & USPS and we do accept APO and PO BOX Addresses. Order can be delivered worldwide within 4-6 Working days .and we do have flat rate for up to 2LB. Extra shipping charges will be requested This Item May be shipped from India, United states & United Kingdom. Depending on your location and availability.
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Seismic Data Analysis by Using Computational Intelligence : Neural Network and Genetic Algorithm Applications for Evaluating Earthquake Key Parameters
Published by LAP LAMBERT Academic Publishing, 2010
ISBN 10: 3838383877 ISBN 13: 9783838383873
Language: English
£ 52.80
Convert currency£ 53.10 shipping from Germany to U.S.A.Quantity: 1 available
Add to basketTaschenbuch. 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.
