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您现在的位置是:团子下载站 > 人工智能/神经网络 > This demo nstrates the use of the reversible jump MCMC simulated annealing for neural networks. This

This demo nstrates the use of the reversible jump MCMC simulated annealing for neural networks. This

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This demo nstrates the use of the reversible jump MCMC simulated annealing for neural networks. This algorithm enables us to maximise the joint posterior distribution of the network parameters and the number of basis function. It performs a global search in the joint space of the parameters and number of parameters, thereby surmounting the problem of local minima. It allows the user to choose among various model selection criteria, including AIC, BIC and MDL
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