摘要
主要从缺陷分类、预测建模、ANN改进与应用三个方面阐述了人工神经网络在木材科学与技术专业方面的应用。其中,BP神经网络是应用最为普遍的一种神经网络,通常与分形、小波等信号分析技术结合使用,达到有效处理信息的目的。此外,采用TD、MSM等技术优化神经网络参数,提高网络处理能力是ANN在本专业应用具有创新意义的尝试。ANN在木材科学与技术中的应用将会越来越广泛而深入。
The application of artificial neural network（ANN） in wood science and technology was clarified from the defect classification,forecast modeling,ANN improvement and application in this paper.Especially,Error Back Propagation Network（BP） was the most common application ANN,which was usually used to achieve the purpose of information processing with the technology of information analysis such as fractal,wavelet analysis.Furthermore,it was an innovative attempt to use TD,MSM and other such technologies to optimize the network parameters for increasing ANN network capacity on this professional application.As the development,ANN would become more and more wide-ranging and indepth in wood science and technology.
出处
《木材加工机械》
2009年第3期34-37,共4页
Wood Processing Machinery
