贝叶斯网络分析源码，可用于分析因果关系。-source Bayesian network analysis can be used to analyze the cause and effect relationship. 下载
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贝叶斯分类算法源码，这是用c语言实现的一个案例。对有关吸毒者的贝叶斯分类。大家可以分享-The source code of bayes classfication arithmetic 下载
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贝叶斯分类器的C++源码，用IRIS作类例子，通俗易懂，适合作模式识别、图像处理研究开发用！-Bayesian classifier C source code, using IRIS category for example, easily understood and suitable for pattern recognition, Image processing research and development with! 下载
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贝叶斯算法，希望对大家有帮助。在这个网站载源码真麻烦啊。一点都不方便。-Bayesian algorithm, we want to help. This site contains the source ah real trouble. Was not convenient. 下载
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贝叶斯分类器，bayesian classifier,贝叶斯分类器，bayesian classifier-Bayesian classifier, bayesian classifier, Bayesian classifier, bayesian classifier 下载
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贝叶斯网络的matlab实现。可以创建贝叶斯网络、训练模型，以及实现统计推理-Bayesian network Matlab achieve. Bayesian networks can create, model training, and the realization of statistical reasoning 下载
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人工智能实验§贝叶斯网络的因果推理关系§ 熟悉掌握Bayes定理，学习贝叶斯网络的因果推理-artificial intelligence experiments Bayesian network causal reasoning relations mastery Bayes Theorem, learning Bayesian network causal reasoning 下载
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贝叶斯优化算法是一种新的演化算法，通过贝叶斯概率统计的知识来学习后代，可是使演化朝有利的方向前进，程序用C实现了贝叶斯优化算法。-Bayesian Optimization Algorithm is a new evolutionary algorithm, through Bayesian probability and statistics to learn the knowledge of future generations, but to enable the evolution towards a favorable direction, procedures C achieved a Bayesian Optimization Algorithm. 下载
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贝叶斯bayes算法分类器诊断程序-Bayesian classifier diagnostic procedures 下载
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基于GMM的概率神经网络PNN具有良好的泛化能力，快速的学习能力，易于在线更新,并具有统计学的贝叶斯估计理论基础，已成为一种解决像说话人识别、文字识别、医疗图像识别、卫星云图识别等许多实际困难分类问题的很有效的工具。而且PNN不但具有GMM的大部分优点，还具有许多GMM没有的优点，如强鲁棒性，需要更少的训练语料，可以和其他网络其他理论无缝整合等。-GMM based probabilistic neural network PNN good generalization ability, the ability to learn fast, easy online updates, and with the Bayesian statistical theory based on estimates, and has become a solution as speaker recognition, text recognition, medical image recognition, satellite images and other real recognition when difficulties classification of very effective tool. But GMM PNN is not only the most advantages, but also has many advantages GMM not as strong robustness, require less training corpus, and other networks to other theories, such as seamless integration. 下载
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