经典人工智能算法综述

Overview of Classical Artificial Intelligence Algorithms

人工智能算法繁多,但经得起实践考验的经典算法有限,常见的有朴素贝叶斯、决策树、逻辑回归、支持向量机、深度学习、强化学习、遗传算法、蚁群算法、元学习等。依据人工智能算法理论基础知识,如概率统计、集合论、空间几何、图论、矩阵论等加以分类,并对相应经典人工智能算法概念和主要应用领域进行概述,去除结构细化和公式展开所带来的复杂感,揭开人工智能的神秘面纱,让算法整体轮廓得以更清晰地呈现。

The artificial intelligence algorithm has a great variety.However,the classical algorithms that can withstand practice and test are actually limited.At present,classical artificial intelligence algorithms include naive Bayes,decision tree,logistic regression,support vector machine,deep learning,reinforcement learning,genetic algorithm,ant colony algorithm,and meta-learning.The paper classifies the main theoretical basic knowledge of artificial intelligence algorithm such as mathematical probability and statistics,set theory,space geometry,graph theory,matrix theory,etc,and summarizes the classical artificial intelligence algorithm concept and main application fields of corresponding classification,and removes the structure.The refinement and formula unfolding brings a sense of complexity to beginners,uncovering the mystery of artificial intelligence,and allowing beginners to have a clear understanding of the overall outline of the algorithm.