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。
The neural network model of the equivalent complex refractive of random rain media is developed by means of the improved BP algorithm, based on the electromagnetic wave propagation theory.
利用改进的BP算法，结合电波传播理论，建立了随机雨介质的等效复折射指数的神经网络模型。
This paper does linear and nonlinear research on the medical indexes and geographical factors, thus the complex linear model and the nonlinear BP neural network model between them are established.
对医学指标与这些地理学指标进行了线性和非线性的研究，从而建立它们之间的复杂线性模型和非线性BP神经网络模型。
This paper does linear and nonlinear research on the medical indexes and geographical factors, thus the complex linear model and the nonlinear BP neural network model between them are established.
对医学指标与这些地理学指标进行了线性和非线性的研究，从而建立它们之间的复杂线性模型和非线性BP神经网络模型。
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