Back Propagation and Transformation Methods in Artificial Intelligence Systems

被引：0

作者：

Moskvin, G. ^{[1
]}

机构：

[1] LLU, LV-3001 Jelgava, Latvia

来源：

ENVIRONMENT, TECHNOLOGY, RESOURCES, PROCEEDINGS | 2003年

关键词：

neural network; intelligent automatic measuring systems; artificial intelligence;

D O I：

暂无

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

Detailed description of methods of back propagation and back transformation also distributions for training of neural networks is given. A comparative estimation of a priority of methods of back transformation and back propagation for the decision of tasks of synthesis and training of neural networks, also for intelligent automatic measuring and AI systems for thefirst time is carried out.

引用

页码：367 / 376

页数：10