Principles of fuzzy neural network and FNN method are adopted for the numerical simulation of network modeling and forecasting of beams with finite deformation of two different materials.
本文运用模糊神经网络原理，采用学习结合型FNN方法，针对两种不同材料梁的大变形进行了网络建模和预测的数值仿真。
Moreover, given the influence of generation rate constraint (GRC) or alteration of parameters, the Fuzzy Neural Network (FNN) is used to control the ACE.
考虑到出力调节速率约束或系统参数改变对控制效果的影响，本文进一步采用模糊神经网络对系统加以控制。
The theory of fuzzy neural network (FNN) modeling for nonlinear systems is presented.
论述了模糊系统和神经网络相结合的非线性系统辨识理论。
This paper presents the studies of Fuzzy-Neural Network (FNN) control methods in the application of the full-bridge series type resonant DC-DC converter.
本论文研究的是模糊神经网络在全桥串联共振型DC - DC变换器控制中的应用。
A variable structure control method based on T-S fuzzy neural network (FNN) is brought forward.
提出基于T - S模糊神经网络的变结构控制方法。
The Fuzzy Neural Network (FNN) methodology is proposed to realize the model of the nonlinear process.
模糊神经网络(FNN)方法可以实现非线性过程模型。
According to the fuzziness of the evaluation indexes, fuzzy mathematics and neural network were integrated to construct the fuzzy neural network (FNN) evaluation model.
依据评价指标模糊性的特点，将模糊数学与神经网络结合，建立了基于模糊神经网络的风险评价模型。
Based on Fuzzy Neural Network (FNN), an intelligent adaptive sliding-mode guidance law is presented.
在自适应滑模导引律的基础上，提出了一种基于模糊神经网络(FNN)的自适应滑模导引律。
The principle, significance and implementation of instrument intelligence are discussed, which combines the Virtual Instrument (VI) and the Fuzzy Neural Network (FNN) technology.
讨论了利用模糊神经网络技术与虚拟仪器技术相结合实现仪器智能化的原理、意义和方案。
The immune clone evolutionary(ICE) algorithm is presented to optimize the parameters of the fuzzy neural network(FNN) controller for the complex billet heating process.
针对复杂钢坯加热过程，提出了一种免疫克隆进化模糊神经网络（ICE-FNN）控制算法。首先根据现场样本数据建立过程神经网络模型；
The immune clone evolutionary(ICE) algorithm is presented to optimize the parameters of the fuzzy neural network(FNN) controller for the complex billet heating process.
针对复杂钢坯加热过程，提出了一种免疫克隆进化模糊神经网络（ICE-FNN）控制算法。首先根据现场样本数据建立过程神经网络模型；
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