图书简介:
目 录<br/>第 1 章 人工智能理论基础 ····················································································· 1<br/>1.1 人工智能简介 ····························································································· 1<br/>1.2 人工智能的起源和发展历程 ······································································· 1<br/>1.3 人工智能的研究对象及特点 ······································································· 7<br/>1.3.1 人工智能的概念 ··················································································· 7<br/>1.3.2 人工智能的研究对象············································································· 8<br/>1.3.3 人工智能的特点 ·················································································· 10<br/>1.4 人工智能的分支和研究方法 ······································································ 10<br/>1.4.1 人工智能的主要分支············································································ 10<br/>1.4.2 人工智能的研究方法············································································ 17<br/>1.5 人工智能的发展和应用 ············································································· 21<br/>1.6 人工智能的相关概念 ················································································· 25<br/>1.7 人工智能与创新创业 ················································································· 26<br/>第 2 章 MATLAB 操作基础 ···················································································· 32<br/>2.1 MATLAB 简介 ··························································································· 32<br/>2.2 算法开发概述 ···························································································· 33<br/>2.3 性能优化概述 ···························································································· 35<br/>2.4 数据分析概述 ···························································································· 40<br/>2.5 数据可视化概述 ························································································ 41<br/>2.6 MATLAB 的基本语法 ················································································ 41<br/>2.6.1 语句形式及使用技巧············································································ 41<br/>2.6.2 变量及其赋值 ····················································································· 43<br/>2.7 矩阵的相关运算 ························································································ 45<br/>2.7.1 矩阵的初等运算 ·················································································· 45<br/>2.7.2 矩阵的高级运算 ·················································································· 48<br/>2.7.3 矩阵的群运算 ····················································································· 51<br/>2.8 关系和逻辑运算 ························································································ 53<br/>2.8.1 关系运算 ···························································································· 53<br/>2.8.2 逻辑运算 ···························································································· 54<br/>·VI·<br/>第 3 章 MATLAB 程序设计 ···················································································· 58<br/>3.1 M 文件 ······································································································· 58<br/>3.1.1 M 文件的建立与编辑 ··········································································· 58<br/>3.1.2 M 文件的分类 ····················································································· 60<br/>3.2 数据的输入/输出 ······················································································· 63<br/>3.2.1 input 函数 ·························································································· 63<br/>3.2.2 disp 函数 ···························································································· 64<br/>3.2.3 pause 函数 ·························································································· 66<br/>3.3 选择结构 ··································································································· 67<br/>3.3.1 if 语句 ······························································································· 67<br/>3.3.2 switch 语句 ························································································· 70<br/>3.3.3 try 语句 ······························································································ 71<br/>3.4 循环结构 ··································································································· 72<br/>3.4.1 for 语句 ····························································································· 73<br/>3.4.2 while 语句 ·························································································· 73<br/>3.4.3 循环的嵌套 ························································································ 74<br/>3.5 函数文件 ··································································································· 74<br/>3.5.1 函数文件的基本结构············································································ 75<br/>3.5.2 函数调用 ···························································································· 76<br/>3.5.3 函数所传递参数的可调性 ····································································· 77<br/>3.6 全局变量和局部变量 ················································································· 79<br/>3.7 类和对象 ··································································································· 80<br/>3.8 文件操作 ··································································································· 85<br/>第 4 章 基于 MATLAB 的人工智能算法设计 ························································· 88<br/>4.1 遗传算法 ··································································································· 88<br/>4.1.1 遗传算法工具箱的使用 ········································································ 88<br/>4.1.2 遗传算法的基本步骤············································································ 89<br/>4.1.3 遗传算法的 MATLAB 实现 ··································································· 91<br/>4.1.4 应用举例 ···························································································· 96<br/>4.2 模拟退火算法 ·························································································· 102<br/>4.2.1 模拟退火算法简介 ············································································· 102<br/>4.2.2 模拟退火算法描述 ············································································· 104<br/>4.2.3 模拟退火算法特点 ············································································· 104<br/>4.2.4 模拟退火算法 MATLAB 工具箱的使用 ················································· 106<br/>·VII·<br/>4.2.5 算法应用举例 ··················································································· 107<br/>4.3 蚁群算法 ································································································· 113<br/>4.3.1 基本蚁群算法的原理·········································································· 113<br/>4.3.2 基本蚁群算法的生物仿真模型 ····························································· 114<br/>4.3.3 基本蚁群算法的数学模型 ··································································· 115<br/>4.3.4 基本蚁群算法的评价指标 ··································································· 119<br/>4.3.5 基本蚁群算法实例仿真实现 ································································ 120<br/>第 5 章 综合应用实例 ·························································································· 132<br/>5.1 图像分割 ································································································· 132<br/>5.1.1 基于区域生长算法的 MATLAB 图像分割 ·············································· 132<br/>5.1.2 基于分水岭算法的图像分割 ································································ 136<br/>5.2 智能模式分类 ·························································································· 146<br/>5.2.1 支持向量机 ······················································································ 146<br/>5.2.2 神经网络的应用和程序设计 ································································ 148<br/>5.3 蚁群算法求解 TSP 问题 ·········································································· 154<br/>5.4 基于模拟退火算法的聚类算法 ································································ 161<br/>5.5 基于支持向量机的乳腺超声图像分类 ····················································· 164<br/>参考文献 ················································································································ 167
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前 言<br/>推进大众创业、万众创新是党中央、国务院在经济发展新常态下作出的重要战略部署,强化创新创业教育是学生成长成才的需求。为此,高校建立了课程体系、实训实践体系、平台体系、保障体系“四位一体”的创新创业教育体系,将其与通识教育、专业教育、个性发展有机融合,强调“做中学、赛中练、实践不断线、科研助育人”,培养创新精神、创业意识和创新创业能力。创新创业教育课程是创新创业教育体系的重要组成部分,是创新创业教育的基本载体,贯穿学生培养的全过程。随着近期我国不断加速转型化进程以及社会就业压力的加剧,创新创业逐渐成为在校大学生和毕业大学生的一种职业选择方式。随着人工智能和模式识别技术的迅猛发展,目前该技术已经成为当代高科技研究的重要领域之一,不仅取得了丰富的理论成果,而且其应用范围越来越广泛,几乎遍及各个学科领域,如图像处理、模式识别、机器人、系统控制、遥感数据分析、生物医学工程、军事目标识别等。由于其在国民经济、国防建设、社会发展的各个方面得到了广泛应用,因而越来越多的人认识到人工智能和模式识别技术的重要性。为抢抓重大战略机遇、构筑先发优势,我国将发展人工智能上升至国家战略层面,在科技研发、应用推广和产业发展等方面推出一系列措施。在基于人工智能的设计开发领域中,MATLAB 作为一种方便、功能强大的计算仿真工具,在应用人工智能算法模拟和解决实际应用问题中起到了关键的作用。<br/>本书以人工智能在创新创业中的应用知识为基础,以培养创新创业精神为核心,以提升学生创新创业能力为目标,注重创新创业有关知识、能力、素质的有机融合,理论和实践统一,培养学生采用 MATLAB 工具对人工智能算法进行设计,进而解决和优化实际应用问题的能力,对学生的创意创新意识、创新思维、创新方法、创新技能,以及创业思维、方法和能力进行训练。本书将创新创业教育与人工智能专<br/>业教育有机融合,建设基于人工智能新时代的专业创新创业教育体系。<br/>编 者
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