In the Bayesian neural network, Bayesian regularization technique has been used to study the structure of neural network.
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。
This paper studies Bayesian neural network in power load forecasting, load forecasting power of the basic concepts and methods.
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。
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.
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。
Forecast results show that Bayesian neural network MAPE and RMSE are less than artificial neural network, Bayesian neural network with better performance, it can be applied to predict the actual work.
预测结果表明，贝叶斯神经网络的MAPE和RMSE均小于人工神经网络，贝叶斯神经网络具有更好的性能，它可利用于实际预测工作中。
Dense sample data are acquired by using numerical control platform of high precision, and the Bayesian generalization is adopted during training the neural network.
通过高精度的数控移动工件台获取密集的样本数据，并在神经网络训练过程中采用贝叶斯正则化方法。
Method named BAYESIAN combined neural network model is proposed for short term traffic flow prediction in this paper.
提出一种新的贝叶斯组合神经网络模型并将其应用于短期交通流量的预测。
A new method was represented to model dynamic linear regression system driven by data, in which a bayesian network was combined with the RBF neural network.
结合贝叶斯网络和神经网络，提出了一种建立数据驱动型的动态线性回归系统模型的方法。
Ground objects can be effectively recognized by gray co-occurrence vector and gray co - dimension feature vector with BP neural network and Bayesian network, recognition rate of 70%.
利用灰度共生纹理特征向量和灰度共生-差分维数联合特征向量结合BP神经网络和朴素贝叶斯网络都能对地物进行有效识别，识别率在70%以上。
Discussed the deficiency in face detection of BP neural network which was single used, and put forward a re-decision method by Bayesian decision.
讨论了单纯使用BP神经网络作人脸的检测判定的不足，并在此基础上提出利用贝叶斯决策对神经网络的仿真结果进行第二次判定的方法。
Discussed the deficiency in face detection of BP neural network which was single used, and put forward a re-decision method by Bayesian decision.
讨论了单纯使用BP神经网络作人脸的检测判定的不足，并在此基础上提出利用贝叶斯决策对神经网络的仿真结果进行第二次判定的方法。
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