3.2 BP神经网络 为比较贝叶斯神经网络(Bayesian neural networks)与传统BP神经网络 (Back—Propagation neural networks)在蛋白质二级结构预测中的性能及研究分 析交叉证实(Cross.Validation...
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在贝叶斯神经网络中,贝叶斯正则化技术被用来学习神经网络结构。
In the Bayesian neural network, Bayesian regularization technique has been used to study the structure of neural network.
本文主要研究贝叶斯神经网络在电力负荷预测中的利用,论述了电力负荷预测的根本概念和措施。
This paper studies Bayesian neural network in power load forecasting, load forecasting power of the basic concepts and methods.
在我们的实验中,根据某地区近二年来的电力需求的历史数据,采用了贝叶斯神经网络方法对本地区未来某个时刻的电力负荷进行预测。
In our experiments, the past two years in an area under the demand of the historical data, using a Bayesian neural network in the region a future time to predict the power load.
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