Application of Artificial Neural Network Technology(ANNT) in Sound Velocity Prediction for Marine Sediments 人工神经网络技术(ANNT)在海底沉积物声速预报中的应用
This thesis brings forwards a civil aircraft wing design process based on artificial neural network technology and database technology. 本文以人工神经网络技术(ANNT)和数据库技术为基础,建立了一套基于人工神经网络方法的民用飞机先进气动力机翼设计流程。
Defects in the pattern recognition fuzzy on this technology and artificial neural network technology, select fuzzy BP neural network learning algorithm. 在缺陷的模式识别上本文将模糊技术和人工神经网络技术(ANNT)相结合,选取模糊BP神经网络学习算法。
An intelligent predictor of PMV index has been built by the use of artificial neural network technology, the intelligent prediction of PMV index is realized, and the key problem for the implementation of central air-conditioning real-time control based on PMV index is solved. 本文利用人工神经网络技术(ANNT),建立了室内环境热舒适度(PMV指标)智能预测器,实现了PMV指标的智能化预测,从而解决了实现基于PMV指标的中央空调系统实时控制的关键问题。
With the CAE simulation being combined with the artificial neural network technology, the simulation and prediction system is established under Matlab environment. 将CAE模拟与神经网络技术相结合,在Matlab环境下建立了注塑工艺参数模拟预测系统。