The experiment shows that with merging the Object Oriented concept and symbol logic, the Intelligent Neural Network system Theory provides a way to build a big, complex NN system.
实验表明，智能神经网络系统组成原理将面向对象、符号逻辑融于神经网络中，提供了构造功能完备的智能系统的途径。
To the question of the hydraulic turbine regulating system, this paper discusses fuzzy neural network control (FNNC) based on the character of fuzzy logic and neural network theory.
水轮机调速系统是典型的具有非最小相位、非线性、时变特性的复杂控制系统，难以建立精确的数学模型。
Recently, Neuro-fuzzy Control base on the Neural Network Theory and Fuzzy Logic System was used widely and successfully.
近年来，基于神经网络和模糊逻辑的神经模糊控制得到了广泛的应用。
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