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- W2767555799 abstract "Deep belief network (DBN) has become one of the most popular techniques for short-term load forecasting. The transfer functions play a vital role on the effective of DBN. In this study, different combinations of three commonly used transfer functions, i.e., logsig, purelin and tansig, in a DBN are examined. Experimental results show that a combination of purelin and tansig transfer functions produces the best load forecasting, and is therefore recommended to use." @default.
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- W2767555799 date "2017-01-01" @default.
- W2767555799 modified "2023-09-27" @default.
- W2767555799 title "Effect of Transfer Functions in Deep Belief Network for Short-Term Load Forecasting" @default.
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- W2767555799 doi "https://doi.org/10.1007/978-981-10-7179-9_40" @default.
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