Seismic Data Analysis by Using Computational Intelligence | Neural Network and Genetic Algorithm Applications for Evaluating Earthquake Key Parameters

Tienfuan Kerh

ISBN 10: 3838383877 / ISBN 13: 9783838383873

Edité par LAP LAMBERT Academic Publishing, 2010

Seismic Data Analysis by Using Computational Intelligence | Neural Network and Genetic Algorithm Applications for Evaluating Earthquake Key Parameters | Tienfuan Kerh | Taschenbuch | 136 S. | Englisch | 2010 | LAP LAMBERT Academic Publishing | EAN 9783838383873 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu. N° de réf. du vendeur 107455350

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.

Présentation de l'éditeur: 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.

Détails bibliographiques

Titre : Seismic Data Analysis by Using Computational...
Éditeur : LAP LAMBERT Academic Publishing
Date d'édition : 2010
Reliure : Taschenbuch
Etat : Neu