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Example4
- 采用贝叶斯正则化算法（抑制过拟合）提高 BP 网络的推广能力，采用两种训练方法， 即 L-M 优化算法（trainlm）和贝叶斯正则化算法（trainbr），用以训练 BP 网络；-Bayesian regularization algorithm (inhibition of over-fitting) to improve the generalization ability of BP network, using two training methods, that LM opti
caodichaoshi
- 贝叶斯网络的经典应用，是入门学习贝叶斯的一个经典的例子，很好用，很好理解-Bayesian network of the classic application, very good understanding, is the study of the bayesian introductory material
beiyes
- 贝叶斯网络概率中文分词算法，基于概率的分词算法-Bayesian network probability of Chinese word segmentation algorithm, based on the probability of word segmentation algorithm
a1
- 基于动态贝叶斯网络的连续语音识别框架及其Token传递模型-Dynamic Bayesian Network Based Continuous Speech Recognition Framework and its Token transfer model
Bayesian-regularization
- 贝叶斯正则化算法提高 BP 网络，L-M 优化算法（trainlm）和贝叶斯正则化算法（trainbr），用以训练 BP 网络-Bayesian regularization algorithm to improve BP network
matlab
- 采用贝叶斯正则化算法提高 BP 网络的推广能力。-Bayesian regularization algorithm to improve the generalization ability of BP network.
wm335
- 虚拟力的无线传感网络覆盖，利用贝叶斯原理估计混合logit模型的参数，单径或多径瑞利衰落信道仿真。- Virtual power wireless sensor network coverage, Bayesian parameter estimation principle mixed logit model, Single path or multipath Rayleigh fading channel simulation.