人工神经网络BP算法可有效解决非线性数学建模问题，并具有较强的并行处理能力。
The ANN BP arithmetic can solve the problem of nonlinear mathematics effectively, and possess higher collateral processing ability.
本文从机理建模入手，应用流体力学理论对双容水箱液位系统进行力学分析，建立非线性数学模型。
By using hydrodynamics theory and method, we can analyze the mechanics principle of two-tank system and establish the system mathematics model.
针对高速公路可变速度控制是一个非线性时变系统，难于用数学模型准确建模这一特点，提出了神经网络控制方法。
The variable speed control for freeway traffic is a nonlinear and time variable system, it is difficult to model with a mathematical model. A neural network control method is put forward.
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