本文详细分析和研究了传统的优化理论、人工智能和神经网络在FMS优化控制中应用的适应性及各自的特点。
This paper surveys the application of classical optimization theory, artificial intelligent and neural network to FMS's control.
综述了人工神经网络在材料性能识别、预测及工艺优化方面应用的新进展，指出了存在的问题。
The new development of application of Artificial Neural Networks on materials properties prediction and process parameters optimization is reviewed. The existing problems are indicated.
通过本文的研究表明，将人工神经网络延伸应用于商品住宅价格的预测具有一定的可行性、可靠性及实用性。
Through the research of this paper it shows that artificial neural network (ANN) theory application in commodity housing price is not only feasible but also reliable and practical.
应用推荐