All current Genetic Algorithms Courses courses in 2024
17 Courses
Soft Computing Techniques
Course Overview: Dive into the realm of Soft Computing with this comprehensive course designed to enhance your understanding of Fuzzy Logics and Genetic Algorithms. Gain insights into multi-optimization problems and discover efficient solutions to various challenges. Learn to utilize Rough Set Theory to expertly manage big data while adopting h.
智能控制技术
本课程体系简约而全面，逐步讲解智能控制技术，内容配有例题与习题，助力学生深入理解与掌握核心概念。课程共有七章，包含34节课。
第一章为绪论，介绍智能控制的发展历程及主要方法，分析智能控制系统的构成原理，共3节课。第二章探讨模糊控制的理论基础，从模糊集合、运算、隶属度函数到模糊逻辑推理进行详细讲解，重点在模糊集数学理论，共7节课。
第三章解析模糊控制系统.
Introduction of Intelligent Control（智能控制导论）
Discover the intriguing world of Intelligent Control in this comprehensive course. Learn how natural intelligent phenomena, such as human brain processes or ant colony tasks, can be simulated by computer programs to improve control processes. The course highlights the difference between intelligent control and traditional control theories, emphas.
Intelligent Control（智能控制）
The rise and in-depth research of artificial intelligence propel control theory toward simulating various intelligences. Concurrently, the automatic control of unmanned systems and intelligent products drives continuous development in intelligent control technology. This course serves as a professional core for students majoring in automation, c.
人工智能基础
本课程专为电气信息类专业本科生设计，重点介绍人工智能的前沿技术及其应用基础。课程内容覆盖广泛，通过系统的知识讲解和丰富的研究案例，学生将拓宽视野，增进科学素养，并优化知识结构。结合最新的人工智能技术讨论，配以视频资料和文献，激发学生对各研究领域的兴趣，提高学习热情，掌握创新方法，培养将理论与实际相结合的能力，以及问题解决能力。与类似课程相比，本课程.
人工智能技术与应用
This course is tailored for engineering management graduate students, integrating artificial intelligence theory, experiments, and engineering practice. Theoretical topics include an introduction to AI, knowledge representation and graphs, search strategies, genetic algorithms, swarm intelligence, neural networks, machine learning, deep learni.
