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This paper presents an integrated functional link interval type-2 fuzzy neural system (FLIT2FNS) for predicting the stock market indices. The hybrid model uses a TSK (Takagi–Sugano–Kang) type fuzzy rule base that employs type-2 fuzzy sets in the antecedent parts and the outputs from the Functional Link Artificial Neural Network (FLANN) in the consequent parts. Two other approaches, namely the integrated...
This paper proposes a Local Linear Wavelet Neural Network (LLWNN) — a combination of Artificial Neural Network and Local Linear Wavelet Technique-to predict electricity prices for one hour to twenty four hours in advance. The prices of Ontario electricity market are taken as experimental data. Multilayer Perceptron (MLP) model has also been discussed for comparison purpose. Backpropagation learning...
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