The theory of artificial Neural Network and its application in space robot control are studied in this thesis.
本论文对人工神经网络理论及其在空间机器人系统控制中的应用作了研究。
This paper surveys the application of classical optimization theory, artificial intelligent and neural network to FMS's control.
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。
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.
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。
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