Description: The use of Bayesian regularization algorithm for BP network to improve generalization ability. In this case, two types of training methods will be used, that is, LM optimization algorithm (trainlm) and Bayesian regularization algorithm (trainbr), to facilitate the training of BP network to enable it to fit attached to a white noise of the sinusoidal sample data.
To Search:
- [FreControlRand] - Monte Carlo algorithm is the sine curve,
- [LM] - The use of Bayesian regularization algor
- [BPtrainlmtrainbr] - By LM optimization algorithm with Bayesi
- [bp] - Sine curve fitting algorithm with a bp,
File list (Check if you may need any files):
bys.m
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