摘要
人工神经网络是一种模拟人脑思维过程的计算模型,具大规模并行处理、信息分布式存储、较强自适应性、自组织性和容错性等优良特性,在非线性关系模拟中更具优势。在对人工神经网络和农业自然资源进行简单介绍的基础上,综述了人工神经网络在农业自然资源研究领域中,在预测预报、评价(评估)、分类和识别以及优化计算方面的应用,并对人工神经网络的应用前景作了概括性的展望。
Artificial neural network（ANN） is a kind of calculating model that simulates human brain＇s thinking process, with good features like large scale parallel processing, distributed storage of information, serf-organization and fault-toleration, and is good at simulating nonlinear relationship especially. After introduction of ANN and agro-nataral resources summarily in this article, the application of ANN in the study on agro-nataral resources in four aspects： forecasting, appraising and evaluation, classification and identifying, optimizing calculation, was expatiated. Then the broad prospect of application of ANN was put forward.
出处
《安徽农业科学》
CAS
北大核心
2007年第27期8711-8713,共3页
Journal of Anhui Agricultural Sciences
关键词
人工神经网络
农业自然资源
Artificial neural network
Agro-natuml resource
