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Title: A novel genetic-algorithm-based neural network for short-term load forecasting
Authors: Ling, S. H.
Leung, Frank H. F.
Lam, H. K.
Lee, Yim-shu
Tam, Peter K. S.
Subjects: Genetic algorithm (GA)
Neural network
Short-term load forecasting
Issue Date: Aug-2003
Publisher: IEEE
Source: IEEE transactions on industrial electronics, Aug. 2003, v. 50, no. 4, p. 793-799.
Abstract: This paper presents a neural network with a novel neuron model. In this model, the neuron has two activation functions and exhibits a node-to-node relationship in the hidden layer. This neural network provides better performance than a traditional feedforward neural network, and fewer hidden nodes are needed. The parameters of the proposed neural network are tuned by a genetic algorithm with arithmetic crossover and nonuniform mutation. Some applications are given to show the merits of the proposed neural network.
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Type: Journal/Magazine Article
DOI: 10.1109/TIE.2003.814869
ISSN: 0278-0046
Appears in Collections:EIE Journal/Magazine Articles

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