Genetic algorithms + data structures = evolution programs (3rd ed.)
Genetic algorithms + data structures = evolution programs (3rd ed.)
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Neural Networks: A Comprehensive Foundation (3rd Edition)
Neural Networks: A Comprehensive Foundation (3rd Edition)
An application of artificial neural networks for rainfall forecasting
Mathematical and Computer Modelling: An International Journal
Genetic evolution of the topology and weight distribution of neural networks
IEEE Transactions on Neural Networks
ISNN 2009 Proceedings of the 6th International Symposium on Neural Networks: Advances in Neural Networks - Part III
Modified diffusion model with multiple products using a hybrid GA approach
Expert Systems with Applications: An International Journal
Design and implementation of flood disaster prevention decision support system
CCDC'09 Proceedings of the 21st annual international conference on Chinese control and decision conference
Expert Systems with Applications: An International Journal
Multi-agent system for customer relationship management with SVMs tool
International Journal of Intelligent Information and Database Systems
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
LSMS/ICSEE'10 Proceedings of the 2010 international conference on Life system modeling and simulation and intelligent computing, and 2010 international conference on Intelligent computing for sustainable energy and environment: Part II
Forecasting monthly urban water demand using Extended Kalman Filter and Genetic Programming
Expert Systems with Applications: An International Journal
A multi-model approach for long-term runoff modeling using rainfall forecasts
Expert Systems with Applications: An International Journal
A novel nonlinear neural network ensemble model using K-PLSR for rainfall forecasting
ICIC'11 Proceedings of the 7th international conference on Intelligent Computing: bio-inspired computing and applications
Computers and Electronics in Agriculture
Soft computing techniques in ensemble precipitation nowcast
Applied Soft Computing
International Journal of Applied Evolutionary Computation
Prediction of rainfall time series using modular soft computingmethods
Engineering Applications of Artificial Intelligence
Hi-index | 12.06 |
Rainfall forecasting plays many important role in water resources studies such as river training works and design of flood warning systems. Recent advancement in artificial intelligence and in particular techniques aimed at converting input to output for highly nonlinear, non-convex and dimensionalized processes such as rainfall field, provide an alternative approach for developing rainfall forecasting model. Artificial neural networks (ANNs), which perform a nonlinear mapping between inputs and outputs, are such a technique. Current literatures on artificial neural networks show that the selection of network architecture and its efficient training procedure are major obstacles for their daily usage. In this paper, feed-forward type networks will be developed to simulate the rainfall field and a so-called back propagation (BP) algorithm coupled with genetic algorithm (GA) will be used to train and optimize the networks. The technique will be implemented to forecast rainfall for a number of times using rainfall hyetograph of recording rain gauges in the Upper Parramatta catchment in the western suburbs of Sydney, Australia. Results of the study showed the structuring of ANN network with the input parameter selection, when coupled with GA, performed better compared to similar work of using ANN alone.