FNN的例句大全

The linear combination of the error and its derivative are selected as switch surface, and then the tendency law method is used to design VSC control law. T-S FNN is imported, so that the actual output can trail the given value.

选择误差及其各阶导数的线性集结作为切换面，用趋近律方法设计变结构控制律，引入T-S模糊神经网络，使实际输出始终跟踪给定值。

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The simulation experiment with this method on a robot manipulator is implemented and good system performance is achieved. Moreover, using the fuzzy neural network ( FNN), a new intelligent terminal sliding mode controller is designed.

该方案在机器人手臂系统中进行了应用，取得了良好的控制效果。此外，提出了一种基于模糊神经网络的终端滑模控制设计方案。

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Then, a new adaptive control method for nonlinear systems is presented by integrating robust modeless learning adaptive control theory for nonlinear systems and FNN.

然后，本文将非线性系统鲁棒无模型自适应控制理论与前馈神经网络相结合，提出一种基于前馈神经网络的非线性系统自适应控制方法。

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The Forecasting Model of Sand-Dust Storm Based on FNN

基于模糊神经网的沙尘暴预报模型

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For the CIR problem, the structure and training algorithm of FNN are decided, the input and output of FNN are fuzzed and the algorithm is modified.

针对煤岩界面识别的具体问题，确定了模糊神经网络的具体结构和训练算法；对于网络的输入、输出进行了模糊化处理并对算法进行了修正。

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This paper has researched motor power characteristic, adopted Fuzzy Neuro Network Controller ( FNN) to confirm target current and utilized PID controller to tail after target current.

对电机助力特性控制进行了研究，采用模糊神经网络控制方法确定电机的目标电流，并利用PID控制跟踪目标电流。

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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。

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gradient descent algorithm is an efficient method to train fnn, and it can be realized in batch or incremental manner.

梯度下降算法是训练多层前向神经网络的一种有效方法，该算法可以以增量或者批量两种学习方式实现。

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at first, a fuzzy neural network ( fnn) model is presented by combining fuzzy computation with neural networks. then, a quantum particle swarm algorithm based on phase encoding of quantum bit is presented, which is applied to optimize parameters of fnn models.

通过将模糊计算与神经网络相融合，首先提出一种模糊神经网络（FNN）模型，然后提出一种基于量子比特相位编码的量子粒子群算法，用于优化FNN的模型参数。

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stability analysis of rock slope based on fnn

基于FNN的岩体滑坡稳定性分析

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the new fnn is used in the control of hot rolling mill production and a satisfying result is obtained.

将这种模糊神经网络用于热轧产品的质量控制，获得了好的效果。

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Fuzzy inference network ( FIN ) and fuzzy associative memory network ( FAM ) are two most important FNN models.

模糊推理网络 ( FIN ) 和模糊联想记忆网络 ( FAM ) 是两种最重要的FNN模型.

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Drawing of compensation based on FNN and Genetic Algorithms ( GA ) heightens the system anti-jamming capability.

FNN与遗传算法 ( GA ) 相结合形成的调整机制的引入,增强了系统的抗干扰能力.

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The FNN constituted by NGA, whose convergence rate, optimizing capability and distinguish effect are superior to those of GA and BP, is accorded with project need of discriminating.

以NGA训练的模糊网络模型，在收敛速度、寻优能力和辨别效果方面均优于BP、GA算法下的模型，符合缺陷识别的工程需要。

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Such a four-layer FNN constitutes a universal approximator of fuzzy valued function. That is, each continuous fuzzy valued function defined on any compact set of Euclidean space can be approximated by the FNN to any degree of accuracy.

该类网络构成了模糊值函数的一类泛逼近器，即在欧氏空间的任何紧集上，任意连续模糊值函数能被这类FNN逼近到任意精度。

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Optimizing neuronal activation function types based on GP in constructive FNN design

前馈网络构造性设计中基于GP实现神经元激活函数类型优化

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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.

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An optimization design method was proposed for a Fuzzy-Neural Network ( FNN ) structure based on chaotic variables.

基于混沌变量,提出一种关于模糊 神经 网络结构的优化设计方法.

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TSK FNN which composed of TSK fuzzy system and pi-sigma neural net has the advantages of both neural net and fuzzy system.

因此我们考虑将TSK模糊神经网络应用到经济预警上，它同时具有神经网络自适应能力强和模糊系统可以处理专家经验的优点。

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The theory of fuzzy neural network ( FNN ) modeling for nonlinear systems is presented.

摘要论述了模糊系统和 神经 网络相结合的非线性系统辨识理论.

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