本书阐述了一个复杂的主题，使用计算智能模式进行识别的直接和适用的方式，基于Matlab来说明本主题和相关概念。
This book presents the complex topic of using computational intelligence for pattern recognition in a straightforward and applicable way, using Matlab to illustrate topics and concepts.
作者介绍了粒子群优化、细菌觅食、模拟退火、遗传算法和人工神经网络等计算智能工具。
The author covers computational intelligence tools like particle swarm optimization, bacterial foraging, simulated annealing, genetic algorithm, and artificial neural networks.
每个主题都给出了基于Matlab的示例和代码。
The Matlab based illustrations along with the code are given for every topic.
读者只需使用相关的数学知识就可以快速了解各种模式识别技术。
Readers get a quick basic understanding of various pattern recognition techniques using only the required depth in math.
书中给出了Matlab程序和算法以及运行文本，为各种技术的应用提供了清晰和实用的依据。
The Matlab program and algorithm are given along with the running text, providing clarity and usefulness of the various techniques.
利用Matlab实现模式识别和计算智能
Presents pattern recognition and the computational intelligence using Matlab;
包括理论、数学和算法的混合，让读者快速理解概念
Includes mixtures of theory, math, and algorithms, letting readers understand the concepts quickly;
概述了一系列分类器、各种回归模型、统计测试以及使用计算智能进行模式识别的技术。
Outlines an array of classifiers, various regression models, statistical tests and the techniques for pattern recognition using computational intelligence.
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