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作 者:黄娟[1] 王军[1] HUANG Juan(Xi'an University of post and telecommunications, Xi'an Shaanxi, 710121)
机构地区:[1]西安邮电大学
出 处:《自动化与仪器仪表》2018年第6期47-49,共3页Automation & Instrumentation
摘 要:数学作为学生学习生活中比较重要的一个科目日益受到人们的重视,其中数学建模竞赛更是体现学生的课外实践动手能力的一个指标。数学建模主要是将日常生活中的各种问题经过简化来加以解决,它的主要目的就是帮助人们解决平常生活中解决不了的问题,解决的途径是将源于生活中各种复杂的事物通过建模型来解决。就目前而言,我国科学技术日新月异的发展,应用于数学建模中的技术手段也越来越多样化,尤其是人工智能算法的运用极大的促进了数学建模的发展。本文主要是在我国建模技术发展的基础上,进一步就人工神经网络方法和遗传算法展开研究探讨,进而不断推进我国数学建模水平的发展。Mathematics, as an important subject in students' learning life, has been paid more and more atten- tion, in which the mathematical modeling contest is an indicator of students' extracurricular practical ability. Mathe- matical modeling is the main problems in daily life has been simplified to be resolved, its main purpose is to help peo- ple solve the problems can be solved in ordinary life, the solution is from life in a variety of complex things through the model to solve. At present, the development of China's science and technology change rapidly, technology applied in mathematical modeling is becoming more and more diversified, especially the use of artificial intelligence algorithm has greatly promoted the development of mathematical modeling. This paper is based on the development of modeling tech- nology in our country, further research on artificial neural network method and genetic algorithm, and then continue to promote the development of mathematical modeling in our country.
分 类 号:TP391[自动化与计算机技术—计算机应用技术]
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