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

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.