Description: Details of the Bayesian theory, neural networks, fuzzy sets, rough sets, genetic algorithm theory and applications.
To Search:
- [Bayers] - Bayesian decision theory commonly used i
- [roughsetsandneuralnetworks] - The rough sets and neural networks to br
- [bayes] - Bayesian classification and the back of
- [PR02] - Introduction Bayesian classifier pattern
- [GIS] - This paper introduces the basic concepts
- [naiveBayes] - This is a perfect naiveBayes algorithm.
File list (Check if you may need any files):
高级人工智能\第10章统计学习理论与支持向量机.ppt
............\第1章.ppt
............\第2章(1).ppt
............\第2章(2).ppt
............\第3章.ppt
............\第4章.ppt
............\第5章(1).ppt
............\第5章(2）贝叶斯（Bayes）决策.ppt
............\第5章(3） 贝叶斯决策理论.ppt
............\第6章 (3）Hopfield + elman+som 神经网络模型与学习算法.ppt
............\第6章(2） 神经网络.ppt
............\第7章 模糊集合和模糊关系.ppt
............\第8章 粗糙集.ppt
............\第9章 遗传算法原理与应用.ppt
高级人工智能
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