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- 網絡模糊神經網絡(Fuzzy Neural Network)；富士新聞網(Fuji News Network)；富士電視新聞網
例句
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.
且改進的粒子群算法在模糊神經網絡權值的訓練中收斂速度和跳出局部最優的能力都要比BP算法更優。
Furthermore, the residual algorithm is applied to the FNN learning, which guarantees the convergence and rapidity.
將殘差算法用于神經網絡的學習，保證了函數逼近的快速性和收斂性。
As one of FNN, RBF network is also widely used in many fields.
RBF神經網絡作為多層前向神經網絡的一種，同樣有著廣泛的應用。
The new FNN is used in the control of hot rolling mill production and a satisfying result is obtained.
將這種模糊神經網絡用于熱軋產品的質量控制，獲得了好的效果。
An optimization design method was proposed for a Fuzzy-Neural Network (FNN) structure based on chaotic variables.
基于混沌變量，提出一種關于模糊神經網絡結構的優化設計方法。
This paper introduces some basic theories, model and methods of fuzzy logic, neural network, and FNN.
結合數據挖掘理論，給出了建立基于模糊神經網絡的數據挖掘模型的一般步驟和方法。
Then the structure and the joint weight of FNN could be changed after harmonics estimation. The performance of SCFNN is also optimized.
在完成了諧波估計后，神經網絡結構和連接權值發生改變，神經網絡的性能也得到優化。
At last, the application of SL_FNN in induction motor control system is proposed.
最后，還討論了結構學習模糊神經網絡在感應電動機解耦控制系統中的應用。
Gradient descent algorithm is an efficient method to train FNN, and it can be realized in batch or incremental manner.
梯度下降算法是訓練多層前向神經網絡的一種有效方法，該算法可以以增量或者批量兩種學習方式實現。
Simulation results show FNN by using the method has simpler structure and higher control precision.
仿真實驗表明，基于混沌優化的模糊神經網絡結構精簡，控制精度高。
So the theory of FNN is very important for the intelligent control.
因此，模糊神經網絡的發展對智能控制發展具有非常重要的意義。
Based on Fuzzy Neural Network(FNN), an intelligent adaptive sliding-mode guidance law is presented.
在自適應滑模導引律的基礎上，提出了一種基于模糊神經網絡（FNN）的自適應滑模導引律。
A new control scheme based on fuzzy neural network (FNN) for valve-controlled motor was presented.
提出了一種基于模糊神經元網絡的閥控馬達控制方案。
FNN simulation indicates that the predicted results are more accurate than that estimated with traditional method.
通過對試驗數據的仿真計算，其強度預測精度高于常規的綜合方法。
In order to improve performances of fuzzy neural networks (FNN), a method of training FNN using particle swarm optimizers (PSO) is proposed.
提出一種用粒子群優化（PSO）算法訓練模糊神經網絡的方法。
Analysis of the Simulation for FNN Controller of a Permanent Magnet Synchronous Servo Motor
永磁同步伺服電機FNN控制的仿真分析
Improvement of a FNN Automatic Gear-shifting Control System for Construction Machinery
工程機械FNN換擋控制系統的改進
The Self-organizing FNN for Pattern Recognition of the Unequal Feature Dimensions
用于特征維數不等識別問題的自組織模糊神經網絡
Study of adaptability on FNN in mine safety assessment
模糊神經網絡技術在礦山安全評價中的適應性研究
A Generalized FNN Equivalent Sliding Mode Control for Synchronous Servo System
一種廣義模糊神經網絡等效滑模同步伺服系統
Medicine Components Recognition of Traditional Chinese Pharmaceutical Medicine Based on FNN
基于模糊神經網絡的中成藥組成藥材識別
FNN-based Intelligent Fault Diagnosis System for Vehicle Engine
基于模糊神經網絡的車用發動機智能故障診斷系統
Extended FNN Soft Sensor Model for Handling Qualitative Inputs
能處理定性參數輸入的推廣模糊神經網絡軟測量建模方法
Reinforcement learning based on FNN and its application in robot navigation
基于模糊神經網絡的強化學習及其在機器人導航中的應用
Application of FNN to Mining Subsidence Prediction
模糊神經網絡在開采沉陷預測中的應用
Application of Compensatory FNN in Training of Fuzzy Rules
補償模糊神經網絡在模糊規則訓練中的應用
Expert intelligent synchronous control based on FNN for constant pressure regulating pump
基于FNN的恒壓力調節泵專家智能協調控制
FNN Adaptive Robust Control of Nonlinear Systems
一類基于FNN的非線性系統自適應控制
Study on FNN in Classification of Cardiac Arrhythmia
FNN在心率失常判別中的研究
T-S FNN and its Application in Active Cluster
T-S模糊神經網絡及其在主動式集群中的應用
Application of FNN in the Recognition of Force of Foot about Athlete
模糊神經網絡在運動員腳力信息識別中的應用
FNN-based assessment model for soft sensing outputs
基于模糊神經網絡的軟測量結果評價方法
Structure Optimization and Ensemble of FNN Based on Cooperative Coevolution
一種基于協同進化的FNN結構優化和集成
Optimizing neuronal activation function types based on GP in constructive FNN design
前饋網絡構造性設計中基于GP實現神經元激活函數類型優化
Intelligent Model of Student Diathesis Evaluation System Based on FNN
基于FNN的智能學生綜合素質評估模型研究
Training Algorithm for FNN Based on a Class of Nonlinear Property
基于一類非線性特性的FNN訓練算法
Structure Changed FNN Based on High Order Spectral Reduction
基于高階譜約簡的變結構模糊神經網絡
Intersections'Traffic Light Control System Based on FNN
基于FNN的多路口的交通燈控制系統設計
The FNN Control and It's Application to Chemical Fibre Industry
模糊神經網絡控制及其在化纖工業中的應用
FNN Identifier Based on Real-Valued Genetic Algorithms
基于實值遺傳算法的模糊神經網絡辨識器
