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...
基于28个网页-相关网页
bayesian-regularization neural networks 贝叶斯正则化神经网络
·2,447,543篇论文数据，部分数据来源于NoteExpress
This approach is superior to the apparently "complex" methods such as Bayesian networks or neural networks.
这种方式倾向于 “复杂的” 方法，比如 Bayesian 网络或神经网络。
Techniques such as Bayesian networks or neural networks use highly expressive models, which try to produce a non-biased classifier in order to "describe" a corpus of documents.
Bayesian网络或神经网络等技术使用表达能力非常强的模型，力求生成无偏向的分类器来“描述”文档集。
The cohesive energy, of 61 metallic crystalloid is predicted by using Bayesian-Regularization neural networks(BRNN).
采用贝叶斯正则化神经网络（BRNN）对61种金属晶体结合能进行了预测。
应用推荐