人工神经网络在增值评价中的应用研究  

Research on the Application of the Artificial Neural Network in Value Added Evaluation

作　　者：仝晓春[1] 周玲[1] TONG Xiaochun;ZHOU Ling(Xi'an Siyuan University,Xi'an 710038)

机构地区：[1]西安思源学院,西安710038

出　　处：《办公自动化》2023年第8期22-24,共3页Office Informatization

基　　金：陕西省教育科学“十四五”规划2022年度课题研究成果,基于OBE理念的虚拟仿真实验教学实践与研究,课题编号:SGH22Y1866。

摘　　要：人工智能算法的问世,衍生出先进的人工神经网络,能实现大规模应用,帮助增值评价建模、数据处理等众多作业。本文将基于增值评价的主要理念,并结合其技术逻辑,进一步研究人工神经网络在增值评价中的应用适配性,并提出基于基本策略以及相关工作流程的人工神经网络应用,以期帮助解决未来在实际应用中存在的难题。With the advent of artificial intelligence algorithms,advanced artificial neural networks have been derived,which can be applied on a large scale to help value-added evaluation modeling,data processing and many other operations.Based on the main concept of value-added evaluation and its technical logic,this paper studies further the application adaptability of artificial neural network in value-added evaluation,and proposes the application of artificial neural network based on basic strategies and related workflow,in order to help and solve the problems in future practical applications.

关 键 词：人工神经网 增值评价 增值模型 

分 类 号：G642.47[文化科学—高等教育学]