人工智能算法中对比实验的建立与讨论——以遗传算法为例

The Establishment and Analysis of Contrast Experiment in Artificial Intelligence Algorithm——Taking Genetic Algorithm as an Example

近年来各高校广泛开展了人工智能课程教学,但缺乏对人工智能算法如何建立及其优劣的教学策略研究。为此,本文以遗传算法为例对人工智能课程中的基本算法进行了阐述,并以对比方式讨论了教学策略。研究表明,人工智能算法在跟踪时间和跟踪精度都各有优势;它们基本原理及其改进思路的培养将开拓学生的思维能力,强调实验结果讨论而不只是操作一下将提高教学效果,提问及互助式讨论将有助于提高学习效率。此外,让教学内容形象直观,图文并茂,易于被学生接受.最后,课前预习和课上重点内容讲授相结合的方式,能更有效地提高实验的教学效果。

In recent years,colleges and universities have widely carried out the teaching of artificial intelligence course,but there is a lack of teaching research on the advantages and disadvantages of artificial intelligence algorithm.For this reason,it illustrates the basic algorithm and comparative research in the course of artificial intelligence and discusses the teaching strategies when the genetic algorithm is taken as an experimental course.The research shows that the artificial intelligence algorithm has special advantages in tracking time and tracking accuracy,the cultivation of artificial intelligence algorithm and its improvement ideas will open up the thinking ability of students,the discussion of experimental results should be emphasized,and the questioning and mutual discussion will help to improve the learning efficiency.In addition,the teaching content image intuitive will be easily accepted by students.Finally,the combination of content preview and key content emphasize can improve the teaching effect.