摘要
人工智能涉及的技术繁多,应用领域广泛。人工智能技术的核心思想是为训练集找到一个优化的拟合函数,用以对数据进行预测和分类。从主流技术出发,介绍了不同技术的应用场景,阐述了人工智能技术的核心思想,梳理了不同模型和算法的共性,从而提高学习和应用效率。
Artificial intelligence has become a familiar term to everyone.However,AI technology involves a wide range of algorithms and applications,giving people a mysterious and deep feeling.Even some people are afraid of it.The purpose of this paper is to clarify the commonalities of different models and algorithms through the elaboration of the core idea of AI technology,so as to improve the efficiency of learning and application.The core idea of artificial intelligence is to find an optimized fitting function for the training set,which can be used to predict and classify the data.At the same time,this article also introduces the application scenes of the mainstream technology,so that everyone can intuitively feel that artificial intelligence technology and life are closely related.
出处
《软件导刊》
2018年第2期35-37,共3页
Software Guide
基金
江苏省高校自然科学研究项目(16KJB140014)
无锡商院校级项目(RS2016B003)
关键词
人工智能
机器学习
语音识别
图像识别
artificial intelligence
machine learning
speech recognition
image recognition
