Using Support Vector Machines to Model the Learning Process

XIAO Yu; LIU Hong-yi

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Using Support Vector Machines to Model the Learning Process

更新时间：2026-09-04

- Using Support Vector Machines to Model the Learning Process
- Vol. 28, Issue 11, Pages: 197-200(2011)
- 作者机构：
  
  西安陆军学院,陕西,西安,710108
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：2011
- 稿件说明：
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肖瑜, 刘宏义. 用支持向量机为学习过程建模[J]. 微电子学与计算机, 2011, 28(11): 197-200.

XIAO Yu, LIU Hong-yi. Using Support Vector Machines to Model the Learning Process[J]. 2011, 28(11): 197-200.
肖瑜, 刘宏义. 用支持向量机为学习过程建模[J]. 微电子学与计算机, 2011, 28(11): 197-200. DOI：

XIAO Yu, LIU Hong-yi. Using Support Vector Machines to Model the Learning Process[J]. 2011, 28(11): 197-200. DOI：

摘要

在游戏开发的人工智能领域中

最关键的部分是学习过程.经典的学习系统需要花费很多时间忘记旧规则

同时学习新规则.为了解决这个问题

文中提出使用支持向量机这种技术

并为这种学习分类器引进了一个时间概念

这样

系统就可以很容易地忘记过去的事情.同时也为支持向量的数量限制和CPU消耗的限制提出了解决方法.

Abstract

In the field of the artificial intelligence for game development

the learning process is very important.Classical learning process will spend lots of time forgetting the old rules

and at the same time learning the new rules.In order to solve the problem

this paper put forward the method of Support Vector Machines (SVM).By introducing the time concept for this method

system can easily forget the old rules

and also bring forward an effective solution to the amount limit of SVM and CPUs consuming.

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Related Institution

Department of Information Research, Qingdao Marine Science and Technology Center

Facully of Information Science and Engineering, Ocean University of China

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