Recognition of three dimensional object is always an interesting subject. Neural network model with its associative capability is an important approach to solving such complex problem.
三维物体的识别是有重要应用意义的课题，神经网络模型是解决该复杂问题的一个途径。
The model is suitable for fuzzy prediction and control of complex system because the recognition method of fuzzy module parameters based on the theory of neural network is adopted.
该模型采用基于神经网路理论的模糊模型参数辨识方法，很适合于复杂系统的模糊预测和控制。
Aiming at the difficulties in modeling the complex MIMO system, the multilayer local recurrent neural network is used to build the predictive model of the process off-line.
针对复杂多变量系统难以建模的问题，采用多层局部回归神经网络离线建立其预测模型。
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