fuzzy-neural network 中文意思是什麼

fuzzy-neural network 解釋
模糊神經網路
  • fuzzy : adj. 1. 有茸毛的,覆著細毛的,如茸毛的。2. 不清楚的。fuzziness n.
  • neural : adj. 【解剖學】神經(系統)的;神經中樞的;【解剖學】背的,背側的。adv. -ly
  • network : n. 1. 網眼織物。2. (鐵路、河道等的)網狀系統,網狀組織,廣播網,電視網,廣播[電視]聯播公司。3. 【無線電】網路,電路。4. 【計算機】電腦網路,網。
  1. Research on bellyache system based on fuzzy neural network

    基於模糊神經網路的腹痛疾病診斷系統的研究
  2. Research on control method of bittern density based on fuzzy neural network in salt solution mining

    基於模糊神經網路的巖鹽鹵水濃度的控制方法研究
  3. Power control on the reverse link for a cdma cellular system using a fuzzy neural network

    蜂窩系統中基於模糊神經網路的反向鏈路功率控制
  4. Marine diesel union fuzzy neural network model can not only reflect the fuzzy character and logicality of main engine, but also avoid the joints between irrelevant parameters, simplify the network structure, and decrease the calculation. 2

    船舶柴油機組合模糊神經網路模型可以反映主機系統的模糊特性和邏輯特性,簡化了網路結構,避免了無關性能參數之間的連接,減少了計算量; 2
  5. Bof end - point temperature prediction model of fuzzy neural network system with subtractive clustering

    基於減法聚類的模糊神經網路轉爐終點溫度預報模型
  6. Expert system based on fuzzy neural network for the optimal control of blank holder force

    神經網路簡化模型設計多變量自適應模糊控制器
  7. The algorithm can not only eliminate the influence of the cumulative errors of the photoelectric code recorder, but also it can satisfy the requirement of the real - time control. a direct inverse model controller of fuzzy neural network with changeable structure based on takagi - sugeno inference is presented and it is used to the motion control of mobile robot. in order to avoid the obstacles successfully, detection results from ccd and ultrasonic sensors are fused by a fuzzy neural network, which acts as an avoidance controller

    包括移動機器人的融合自定位問題:移動機器人利用光電編碼器進行自定位,同時用擴展卡爾曼濾波器融合多個超聲波傳感器的測量值,採用回朔演算法將融合值用於復位光電編碼器,消除了光電編碼器累積誤差的影響,並能滿足實時控制的要求:並提出一種基於takagi - sugeno模型的變結構模糊神經網路直接逆模型控制器,並應用於移動機器人的運動控制;利用模糊神經網路避障控制器融合ccd攝象機與超聲波傳感器探測到的環境信息,以實現機器人的安全避障。
  8. The other is an improved fuzzy neural network that is joined a compensative operation layer and adopts the improved center - or - gravity defuzzication in feedforward fuzzy neural network based on gaussian fuzzy logical system

    其二是改進的補償模糊神經網路。該網路在基於高斯模糊邏輯系統的前饋模糊神經網路中加入了補償運算層和採用了改進型中心反模糊化器。
  9. A soft sensor modeling algorithm based on improved fuzzy neural network is presented. the normalized average output membership functions are defined as fuzzy basis functions for defuzzification calculation. in order to improve the property of convergence, some parameters of the fuzzy neural network are trained by levenberg - marquardt algorithm, and the others are trained by gradient descent algorithm

    提出了一種改進的模糊神經網路軟測量建模方法,採用規則化的平均輸出隸屬度函數作為模糊基函數進行反模糊化運算;在訓練網路時,部分參數採用levenberg - marquardt演算法來訓練,另一部分採用一階梯度下降法。
  10. Impulse noise filter based on fuzzy neural network

    基於模糊神經網路的脈沖噪聲濾波器
  11. Considering synthetically the elevator running characteristics, a new evaluating function for the elevator group control system ( egcs ) is suggested. a kind of fuzzy neural network is used in the elevator group algorithm. the fitness of each elevator servicing the hall call signal is deduced, so the elevator is dispatched reasonably

    綜合考慮電梯運行特性,提出一種新的電梯群控系統( egcs )評價函數,並用模糊神經網路的電梯群控演算法推出各電梯響應層站召喚信號的適合度,從而達到電梯的合理調度。
  12. Fuzzy neural network for idle speed control in automotive engines based on simulink

    的汽車發動機怠速模糊神經網路控制
  13. An indirect self - adaptive fuzzy - neural network controller ( fnnc ) has been proposed with its parameters and the structure tuned simultaneously by ga in virtue of the powerful optimization property of ga. the structure of the controller is based on the radical basis function ( rbf ) neural network with gaussian membership functions. the performance of the proposed fnnc is compared with a conventional fuzzy - pid controller and the simulation results show that the fnnc presents encouraging advantages

    針對神經網路採用一維反向傳播訓練演算法速度較慢且易於陷入局部極小點的不足,設計了一種間接自校正模糊神經網路控制系統,利用遺傳演算法( ca )對隸屬度函數的結構和參數進行優化,模擬比較表明該控制比模糊pid控制具有更優的性能。
  14. Research on combustion temperature fuzzy neural network model of incinerators

    垃圾焚燒爐爐溫控制模糊神經網路模型研究
  15. Finally, a soft sensor model of melt index in polymer reaction based on the proposed method is established, and the simulation results show that in contrast to the traditional fuzzy neural network the proposed method is not sensitive to initial parameters and possesses good convergence capability and prediction precision

    最後用該建模方法建立了聚合反應中熔融指數的軟測量模型,並與完全基於梯度下降的模糊神經網路軟測量模型進行比較。結果表明改進的模糊神經網路對初始值的選擇不敏感,並且具有很好的收斂性,同時還能達到指定的預測精度,很適合工程應用。
  16. Research of circuit fault diagnosis based on fuzzy neural network

    基於模糊神經網路的板級電路故障診斷研究
  17. There are many types fuzzy - neural network at present. but in this paper, a new type of fnn structure is presented which is in form of series

    模糊神經網路的種類很多,本文在總結模糊神經網路的發展與分類的基礎上提出了一種新型的模糊神經網路串聯式結合方式。
  18. It possesses not only the self - learning ability and adaptability, but also the function of self - adjusting factors. based on fuzzy set, neural network theory, the fuzzy control model and fuzzy neural network control model of multi variable system are presented. based on the automatic core - welding line of shop floor control system in yangzhou radiator plant computer integrated manufacturing system ( ys - cims / sfcs ), the fuzzy logic theory was applied to the controlling device and established the main heating room fuzzy temperature controller and finally was put into practical use

    本文採用了基於神經網路技術的智能pid控制策略,設計了一類具有自學習和自調整比例因子功能的神經元網路自適應pid控制器的結構及演算法;為解決結構不確定性的復雜多變量系統的控制,基於模糊集及模糊系統、神經網路理論,建立了多變量系統的模糊控制模型及模糊神經網路控制模型;針對揚州水箱廠計算機集成製造系統車間管理與控制系統( ys - cims sfcs )中的實際工程問題,設計和開發了散熱器芯子烘焊自動線主烘腔溫度模糊控制器,解決了生產中長期存在的老大難問題,提高了產品質量,降低了單產能耗。
  19. After that, a fuzzy neural network control design with mixed performance was proposed aiming at different requirement to uncertainty, which separately compensate parameter uncertainties and external disturbances of robot system. this method can ensure the robust stability that under a prescribed attenuation level for the external disturbance, and also strengthens compensation to parameter uncertainties. the theory of hybrid force / position control is clear, however, it is difficult to implement

    針對實際應用中對不確定的不同要求,又提出了一種具有混合/性能指標的神經網路控制方法,對機器人不確定性(包括參數不確定性和外部擾動)分別進行補償,保證了系統對外界干擾在給定的干擾衰減度下具有魯棒穩定性的同時,還增強了系統對參數不確定性的補償。
  20. The fuzzy neural network is used to identify the dynamics of the system to be controlled, the trained fuzzy neural network is used in the inverse system method for chaos control and chaotifying control

    採用模糊神經網路洲觸被控系統的動態特性,將訓練好的神經網路應用於逆系統方法中,實現了混沌系統的控制和混沌化控制。
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