Construction of Information Service Platform for International Science and Technology Achievement Transfer Based on BP Neural Network

An Qin, Xingfeng Liu
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Abstract

With the acceleration of the process of economic globalization, the level of scientific and technological creation has replaced the traditional artificial level and has become an important factor in measuring the overall national strength of a country. The transformation of international scientific and TA solves the problem of how to develop and apply from written theory to practice. There are problems with the conversion efficiency of scientific and technological achievements, the overall concept of scientific and technological innovation is lagging behind and the overall level of transformation of scientific and technological achievements is not high. This paper is based on the BP neural network to realize the construction of the international scientific and TA transfer information service platform. The BP algorithm is an algorithm in the artificial neural network. This paper outlines the relevant characteristics and applications of the BP neural network, and conducts the transfer information service platform experimental research. Through the relevant characteristics of the BP neural network, the improvement of the BP algorithm, and the four operating data of the transfer information service platform information display, information management, and information retrieval, the information display and information retrieval of the transfer information service platform are designed. According to experimental research, the improved BP neural network has good operating data for the international scientific and TA transfer information service platform.
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基于BP神经网络的国际科技成果转移信息服务平台构建
随着经济全球化进程的加快,科技创新水平已经取代了传统的人工水平,成为衡量一个国家综合国力的重要因素。国际科学与技术交流的转变解决了如何从书面理论到实践的发展和应用问题。科技成果转化效率存在问题,科技创新整体观念滞后,科技成果转化整体水平不高。本文基于BP神经网络实现了国际科协传递信息服务平台的构建。BP算法是人工神经网络中的一种算法。本文概述了BP神经网络的相关特点及应用,并对传递信息服务平台进行了实验研究。通过BP神经网络的相关特点,改进BP算法,结合传递信息服务平台的信息显示、信息管理和信息检索四个运行数据,设计传递信息服务平台的信息显示和信息检索。实验研究表明,改进后的BP神经网络具有良好的运行数据,可用于国际科学和交通运输信息服务平台。
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