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Математика Математика
Основы математического анализа и элементы дифференциальных уравнений Основы математического анализа и элементы дифференциальных уравнений


Artificial Neural Network inversion in Geoelectrics. Modeling and inversion of geophysical resistivity data using artificial neural network

Автор:   Upendra S.
мягкая обложка
148 страниц
2009 год
Издательство:   Книга по Требованию
2400 руб
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Описание:Modern data processing techniques based on the concepts of Artificial Neural Networks (ANN), which works on the analogy of human brain, has emerged as one of the most powerful alternative perspectives for complex geo-data analysis. This book presents important results of ANN modeling of geoelectrical sounding data from some of the crucial tectonic and geologically important regions such as Barmer District of Rajasthan and Puga Valley of Jammu ANN based techniques are robust and have many advantages to handle large amount of data sets. The main goal of the present book is to develop, apply and compare various ANN based algorithms to construct subsurface resistivity structure using the Schlumberger resistivity sounding data.

Orthomol Immun Junior Сила иммунитета на страже Вашего ребенка Orthomol Immun Junior Сила иммунитета на страже Вашего ребенка

2990 руб
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Учебное пособие по курсу «Нейроинформатика»

Liability for malfunction of an expert system // IEEE Conf. Manag. Expert Syst. Program and Proj., Bethesda, Md. Sept. 10-12, 1990: Proc.- Los Alamitos (Calif.) etc., 1990.- PP. 8-15. 278. Genis C. T. Relaxation and neural learning: points of convergence and divergence // J. Parallel and Distrib. Comput.- 1989.- 6, № 2.- PP. 217-244. 279. George N., Wang hen-ge, Venable D.L. Pattern recognition using the ring-wedge detector and neural-network software: [Pap.] Opt. Pattern Recogn. II: Proc. Meet., Paris, 26-27 Apr., 1989 // Proc. Soc. Photo-Opt. Instrum. Eng.- 1989.- PP. 96-106. 280. Gilev S.E. A non-back-propagation method for obtaining the gradients of estimate function // Advances in Modelling & Analysis, A, AMSE Press, 1995. Vol. 29, № 1. PP. 51-57. 281. Gilev S.E., Gorban A.N. On Completeness of the Class of Functions Computable by Neural Networks, Proc. of the World Congress on Neural Networks, Sept. 15-18, 1996, San Diego, CA, Lawrence Erlbaum Associates, 1996, pp. 984-991. 282. Gilev S.E., Gorban A.N., Kochenov D.A., Mirkes Ye.M., Golovenkin S.E., Dogadin S.A., Nozdrachev K.G., Maslennikova E.V., Matyushin G.V., Rossiev D.A., Shulman V.A., Savchenko A.A. "MultiNeuron" neural simulator and its medical applications // Proceedings of International Conference on Neural Information Processing, Oct. 17-20, 1994, Seoul, Korea.- V.2.- P.1261-1264. 283. Gilev S.E., Gorban A.N., Mirkes E.M ...»

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