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  • Search: subject:"Radial Basis Function Neural Network"
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Year of publication
Subject
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Diebold-Marioano test 1 back propagation neural network 1 bootstrap method 1 enhanced particle swarm optimization algorithm 1 fuzzy time series model 1 hybrid forecasting method 1 option price forecasting 1 persistence method 1 radial basis function neural network 1 radial basis function neural network model 1 wind power forecasting 1
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Free 2
Type of publication
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Article 2
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Undetermined 2
Author
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Chang, Wen-Yeau 1 Lee, Chien-Pang 1 Leu, Yungho 1 Yang, Chih-Chung 1
Published in...
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Energies 1 Journal for Economic Forecasting 1
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RePEc 2
Showing 1 - 2 of 2
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A Dynamic Weighted Distancedbased Fuzzy Time Series Neural Network with Bootstrap Model for Option Price Forecasting
Yang, Chih-Chung; Leu, Yungho; Lee, Chien-Pang - In: Journal for Economic Forecasting (2014) 2, pp. 115-129
dataset for the radial basis function neural network model to forecast the option price. However, the sample size of option … function neural network model and a bootstrap method. In the proposed model, the dynamic n-order 2-factor fuzzy time series … series neural network with bootstrap model, is composed of a dynamic n-order 2-factor fuzzy time series model, a radial basis …
Persistent link: https://www.econbiz.de/10010797473
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Cover Image
Short-Term Wind Power Forecasting Using the Enhanced Particle Swarm Optimization Based Hybrid Method
Chang, Wen-Yeau - In: Energies 6 (2013) 9, pp. 4879-4896
High penetration of wind power in the electricity system provides many challenges to power system operators, mainly due to the unpredictability and variability of wind power generation. Although wind energy may not be dispatched, an accurate forecasting method of wind speed and power generation...
Persistent link: https://www.econbiz.de/10010692413
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