Rainfall Forecasting Using Neural Network
Mohini Darji
Sold by buchversandmimpf2000, Emtmannsberg, BAYE, Germany
AbeBooks Seller since 23 January 2017
New - Soft cover
Condition: New
Ships from Germany to U.S.A.
Quantity: 1 available
Add to basketSold by buchversandmimpf2000, Emtmannsberg, BAYE, Germany
AbeBooks Seller since 23 January 2017
Condition: New
Quantity: 1 available
Add to basketThis item is printed on demand - Print on Demand Titel. Neuware -An accurate rainfall forecasting is a challenging problem for agriculture dependent countries like India for analyzing the crop productivity, use of water resources and pre-planning of water resources. This book provides issues involved in prediction of daily, monthly, and yearly rainfall data using neural network. We incorporate various models such as ARIMA, Feed Forward Neural Network (FFNN), Radial Basis Function Neural Network (RBFNN), and Time Delay Neural Network (TDNN) techniques for rainfall prediction. All the models implemented using MATLAB software. The purpose of the book is to uses Genetic Algorithm (GA) for optimizing biases and weights of neural network. The results of ARIMA model are compared with the results obtained using three neural network models.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 88 pp. Englisch.
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