Forecasting the Indian summer monsoon intraseasonal oscillations using genetic algorithm and neural network
作者： Suneet Dwivedi , Avinash C Pandey , None
DOI: 10.1029/2011GL048314
关键词:
摘要: [1] The correct and timely forecast of the Indian summer monsoon Intraseasonal Oscillations (ISOs) is very important. It has great impact on agriculture economy subcontinent region. The applicability Genetic Algorithm (GA) demonstrated for nonlinear curve fitting inherently chaotic noisy Lorenz time series ISO data. A robust method developed long-range prediction using a feed-forward delay backpropagation Artificial Neural Network (ANN). Using an iterative one-step-ahead strategy, five years (120 pentads) advanced made data with good skill. shown that hybrid GA-ANN model may be used as early followed by ANN only more reliable model.
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