Incise 发表于 2025-3-25 05:10:58
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A Universal Approximator Network for Predicting Conditional Probability Densities,itecture can deal with both stochastic and determinstic processes. Two variants, the derivative-of-sigmoid mixture (DSM) and the Gaussian mixture (GM) networks are presented, and their relation to a stochastic kernel expansion is noted. The chapter concludes with a comparison between these models ancolony 发表于 2025-3-26 13:13:15
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