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- 网络模糊神经网络(Fuzzy Neural Network)；富士新闻网(Fuji News Network)；富士电视新闻网
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模糊神经网络(Fuzzy Neural Network)
模糊神经网络(fnn) 学习算法 优化 人工智能 程度 程度粗糙集 逻辑差 精度 粗糙集理论 变精度粗糙集 200 人脸识别 2 无监督模式 …
富士新闻网(Fuji News Network)
为富士新闻网（FNN）的成员。是广岛县内迄今最晚开业的电视台。
富士电视新闻网
富士电视新闻网（FNN）10月16日报道称，经过方面确认，16日，中国海军多艘军舰朝钓鱼岛方向航行。这是政府实施“国有化…
前馈神经网络(feedforward neural networks)
前馈神经网络(FNN)在非线性系统建模及控制中占据非常重要的地位。研究表明：对于任何闭区间上的连续函数都可以用单隐层 …
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And, in FNN weight training, improved PSO in the convergence rate and the ability to jump out to local optimum algorithm is better than BP.
且改进的粒子群算法在模糊神经网络权值的训练中收敛速度和跳出局部最优的能力都要比BP算法更优。
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Furthermore, the residual algorithm is applied to the FNN learning, which guarantees the convergence and rapidity.
将残差算法用于神经网络的学习，保证了函数逼近的快速性和收敛性。
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As one of FNN, RBF network is also widely used in many fields.
RBF神经网络作为多层前向神经网络的一种，同样有着广泛的应用。
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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。
5
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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This paper introduces some basic theories, model and methods of fuzzy logic, neural network, and FNN.
结合数据挖掘理论，给出了建立基于模糊神经网络的数据挖掘模型的一般步骤和方法。
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Then the structure and the joint weight of FNN could be changed after harmonics estimation. The performance of SCFNN is also optimized.
在完成了谐波估计后，神经网络结构和连接权值发生改变，神经网络的性能也得到优化。
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At last, the application of SL_FNN in induction motor control system is proposed.
最后，还讨论了结构学习模糊神经网络在感应电动机解耦控制系统中的应用。
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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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Simulation results show FNN by using the method has simpler structure and higher control precision.
仿真实验表明，基于混沌优化的模糊神经网络结构精简，控制精度高。
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So the theory of FNN is very important for the intelligent control.
因此，模糊神经网络的发展对智能控制发展具有非常重要的意义。
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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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A new control scheme based on fuzzy neural network (FNN) for valve-controlled motor was presented.
提出了一种基于模糊神经元网络的阀控马达控制方案。
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FNN simulation indicates that the predicted results are more accurate than that estimated with traditional method.
通过对试验数据的仿真计算，其强度预测精度高于常规的综合方法。
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In order to improve performances of fuzzy neural networks (FNN), a method of training FNN using particle swarm optimizers (PSO) is proposed.
提出一种用粒子群优化（PSO）算法训练模糊神经网络的方法。
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Analysis of the Simulation for FNN Controller of a Permanent Magnet Synchronous Servo Motor
永磁同步伺服电机FNN控制的仿真分析
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Improvement of a FNN Automatic Gear-shifting Control System for Construction Machinery
工程机械FNN换挡控制系统的改进
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The Self-organizing FNN for Pattern Recognition of the Unequal Feature Dimensions
用于特征维数不等识别问题的自组织模糊神经网络
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Study of adaptability on FNN in mine safety assessment
模糊神经网络技术在矿山安全评价中的适应性研究
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A Generalized FNN Equivalent Sliding Mode Control for Synchronous Servo System
一种广义模糊神经网络等效滑模同步伺服系统
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Medicine Components Recognition of Traditional Chinese Pharmaceutical Medicine Based on FNN
基于模糊神经网络的中成药组成药材识别
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FNN-based Intelligent Fault Diagnosis System for Vehicle Engine
基于模糊神经网络的车用发动机智能故障诊断系统
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Extended FNN Soft Sensor Model for Handling Qualitative Inputs
能处理定性参数输入的推广模糊神经网络软测量建模方法
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Reinforcement learning based on FNN and its application in robot navigation
基于模糊神经网络的强化学习及其在机器人导航中的应用
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Application of FNN to Mining Subsidence Prediction
模糊神经网络在开采沉陷预测中的应用
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Application of Compensatory FNN in Training of Fuzzy Rules
补偿模糊神经网络在模糊规则训练中的应用
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Expert intelligent synchronous control based on FNN for constant pressure regulating pump
基于FNN的恒压力调节泵专家智能协调控制
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FNN Adaptive Robust Control of Nonlinear Systems
一类基于FNN的非线性系统自适应控制
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Study on FNN in Classification of Cardiac Arrhythmia
FNN在心率失常判别中的研究
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T-S FNN and its Application in Active Cluster
T-S模糊神经网络及其在主动式集群中的应用