大数据背景下的人工智能优化技术研究

Research on Artificial Intelligence Optimization Technology in the Context of Big Data

人工智能是跨学科的产物,不仅涉及到计算机学科,还涉及到心理学、语言学甚至人们的日常生活。随着网络时代的不断发展,人们对人工智能的要求逐渐提高。现代人工智能存在语言识别度低、理解不准确、功能实现单一以及防范能力不强等问题,笔者针对这些问题提出了人工智能优化技术研究,从技术实现的工作流程、算法等角度来设计优化模型,通过模型的实现论证优化结果保证模型的可行性,促进网络智能技术的发展。

Artificial intelligence is an interdisciplinary product,involving not only computer science,but also psychology,linguistics and even People's Daily life.With the continuous development of the Internet era,people gradually to the requirement of artificial intelligence,modern artificial intelligence as the low degree of speech recognition,understanding is not accurate,single function implementation,preventing ability is not strong and so on,aiming at these problems puts forward the artificial intelligent optimization technology research,from the aspects of technology implementation process,the algorithm to design optimization model,through the implementation of the model,the optimization results to ensure the feasibility of the model,to promote the development of intelligent network technology.