neural fuzzy theory 中文意思是什麼
neural fuzzy theory
解釋
中性模糊理論-
On the basis of introducing the theory of fuzzy control ( fc ) and neural network ( nn ) as a whole, this paper presented a new mixed control method, which was called as neural network - fuzzy control. ( nn - fc ). the nn - fc method combined the strong self - study ability of neural network and powerful experience - expressing ability of fuzzy control to meet the need of real - time control
在系統地介紹智能控制理論中的模糊控制和神經網路控制理論之後，引入了模糊控制和神經網路控制相結合的產物? ?神經模糊控制，將模糊邏輯推理的強大結構性知識表達能力與神經網路的強大自學習能力集於一體，彌補了模糊控制需要系統先驗知識且缺乏自學習功能的不足。 -
The artificial neural network provides convenient and fast tools to simulate rice growth and gets ride of the limitation of traditional models. 4. fuzzy discrimination system of photothermal traits was developed with fuzzy logic theory and matlab 5. 1
4 、在水稻高產栽培專家系統的基礎上，利用模糊邏輯的理論和方法，以matlab5 . 3為編程工具，研製了水稻光溫生態特性的模糊鑒別系統，試圖提高專家系統的功能。 -
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。 -
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。 -
In view of disadvantages of the present evaluation system, this article combines the delphil method with the analytic hierarchy process method and the fuzzy neural network theory
本文先針對目前ipo發行人質量評價體系的不足，綜合運用德爾菲法、層次分析法及模糊分析法相結合的方法，構建了一套完備的發行人質量評價指標體系。 -
In 1991, he introduced the concept of soft computing, the principal constituents of which are fuzzy logic, neural network theory and probabilistic reasoning
一九九一年澤德教授提出軟計算的概念，內容主要包括快思邏輯、神經網路理論及概率推理。 -
In this paper, the control system of industrial boiler widely used in industrial production was studied. aiming at the nonlinear object of industrial boiler with instability parameter and difficult building math model, combining fuzzy control theory and neural networks theory, a adaptive controller built with compensatory fuzzy neural networks to control industrial boiler is proposed
本文對于目前在工業生產中廣泛應用的工業鍋爐的控制系統進行了研究，針對工業鍋爐這種具有非線性、參數不穩定、難以建立精確的數學模型的控制對象，結合模糊控制理論和人工神經元網路理論，提出用補償模糊神經網路構造自適應控制器實現對工業鍋爐的過程式控制制。 -
First, the basic theory of the competitiveness is analyzed, evaluating indexes which conclude relative and absolute indexes basic on the last literatures are set up. second, because the data are too many and computing time is too long, the competitiveness of science and technology of 30 areas are clustered using fuzzy clustering model, the areas of the whole nation are clustered several kinds and we can draw some conclusions of same kind. evaluating the competitiveness using single model can produce white noise, so combinational models which concluding neural network, fuzzy theory and genetic algorithm are brought forward to evaluate the competitiveness of areas which are in the same kind with fujian province in the test
本文首先分析科技競爭力的基本理論，並根據以往研究科技競爭力文獻，建立包含絕對指標和相對指標的評價科技競爭力評價指標體系，其次，針對評價福建省科技競爭力在全國范圍內的排名情況數據較多，計算時間較長的具體情況，利用模糊神經網路模型對全國30個省市自治區科技競爭力水平進行聚類分析，將科技競爭力水平接近的地區聚為一類，得出科技競爭力水平相近地區情況，而後，針對已有文獻科技競爭力評價只是利用單一模型可能產生噪聲，影響評價結果，並且主觀性較強的缺點，本文將神經網路、模糊數學、遺傳演算法等智能演算法組合，利用組合評價模型對福建省和與福建省同在一類的其它地區的科技競爭力水平進行橫向、縱向評價，得出福建省在全國范圍內的科技競爭力水平排名。 -
The combination of fuzzy theory and neural network theory can improve the intelligence level of strategic manangement fifth, the process of strategic manangenietn is the process of knowledge creation and knowledge application, the ultimate objective of the system is to nurture knowledge advantage
論文通過模糊理淪和神經網路的結合，構造戰略制定模型，以提高錢略管理系統的智能水平。 （ 5 ）戰略管理過程就是企業確立知識優勢力的過程。其系統運行的目標就是培育知識優勢力。 -
In this thesis, two kinds of load density forecast methods are introduced, classified - divisional load density method and classification method based on artificial neural network and fuzzy theory
本文介紹了兩種負荷密度預測方法：分類分區預測法及基於神經網路和模糊演算法的聚類分析方法。 -
Allowing for the factors affecting the load forecast in the practical engineering project, i compare the characteristic and their applicability of the above spatial load forecasting methods, and then get the following results. the classified - divisional load density method has tendency to be affected by human factors, but the classification method based on artificial neural network and fuzzy theory can make up with this fault
考慮到實際工程項目中影響負荷預測的各種因素，我對上述幾種空間負荷預測方法的特點和適用范圍進行了分析比較，認為分類分區預測方法受人為因素影響太多，特別是對于缺乏歷史數據的新區進行負荷密度預測，往往不能得到滿意的結果，而基於神經網路和模糊演算法的聚類分析方法可以彌補這一缺陷。 -
For the first time this dissertation discusses the feasibility of data mining for the fields data of cfbb ， analyses the preprocessing technology of sample data ， introduces the application of clustering analysis ， and finally completes the rule extraction by applying knowledge - based artificial neural network. considering distributed parameters ， nonlinear ， and long time lag system of cfbb ， the theory of self - organizing neural fuzzy inference system is applied to the control system of cfbb ， and enables control rules extraction on - line. the models of data mining and self - organizing ( fbnc - pnn controller ) are programmed ， embedded to the control system of a 35 t / h cfbb in tsingtao ， and finally improve the performance of cfbb effectively
本文還針對流化床鍋爐運行的非線性嚴重、大滯后、不確定性大等特點，研究了基於數據挖掘優化的模糊神經自組織控制策略在循環流化床控制系統中的應用，使規則獲取可以在線進行；並編制了數據挖掘模塊優化自組織控制模塊，應用到青島35t / h循環流化床鍋爐的控制系統中，提高了鍋爐的運行水平和效率，取得了良好的效果。 -
Recently, neuro - fuzzy control base on the neural network theory and fuzzy logic system was used widely and successfully
近年來，基於神經網路和模糊邏輯的神經模糊控制得到了廣泛的應用。 -
So studying identification problem on nonlinear systems based on neural fuzzy technique has feasibility, and it has important value in theory and application
因此應用神經模糊技術研究復雜非線性系統的辨識問題具有可行性，並且具有重要的理論意義和實際應用價值。 -
Based on the agent prediction theory presented by professor s y chen, a nonlinear agent combination forecast model was set up through combining the fuzzy set theory, the neural network theory and the genetic algorithm, and this model was applied to the forecast of ice flood in the yellow river
摘要在現有智慧預測理論的基礎上，將模糊集理論、神經網路理論和遺傳演算法相結合，建立了非線性智慧組合預測模型，並應用於黃河?汛預測中。 -
The simulation experiment had indicated this method in the accurate rate and the diagnosis speed in the fault diagnosis compares the traditional method to have the further enhancement. based on fractal theory, fractal diagnosis method is developed through characteristic parameter of calculating dimension of signal fractal. based on the principles of fuzzy theory and neural network as well as the conception of fractal dimension subordinating degree, fractal fuzzy neural network, input to which is fractal dimension subordinating degree, is constructed
同時，本論文基於分形理論，以信號分形計算維數為特徵量，建立分形診斷方法;基於模糊理論和神經網路原理，基於分形維數隸屬度的概念，將不同采樣周期對應的計算維數按照模糊化處理，以一個固定的采樣周期時段的分形維數隸屬度為輸入，構成了分形模糊神經網路的診斷方法，提出了一種非線性模擬系統的故障識別方法，並利用模擬實驗驗證診斷演算法的有效性。 -
Application of fuzzy theory on condition assessment of bridge based on neural network
基於神經網路的模糊理論在橋梁狀態評估中的應用 -
Construct a fuzzy - neural network cost estimation system, which uses cost related factors as inputs and bp network as basic network structure, add fuzzy theory to deal with the inputs, outputs and middle process. further more, use pca method to improve this system
文章構建了模糊神經網路成本估算系統進行軟體成本估算，該系統以影響軟體成本的重要因素為輸入，以bp神經網路為基本網路結構，並加入模糊理論對系統的輸入、輸出和中間過程進行處理。 -
In this study, fruit sorting by using fuzzy theory and error - back - propagation ( ebp ) neural network was investigated, the convergence rate and sorting accuracy were discussed ; the performance of ebp neural and fuzzy - neural networks were evaluated
摘要本研究之主要目的在於利用模糊理論及倒傳遞類神經網路模擬水果之選別，並探討不同網路之收斂速度及選別正確率。 -
On account of natural identity complexity of rocks and soils, density, cohesion, friction angle, slope angle, hole pressure ratio in describing physics and mechanics property of rocks and soils are singly uncertain, so the fuzzy optimization neural networks theory is applied to analyzing the landslide stability in order to probe into a new method of slope stability analysis
由於巖土體自然特性的復雜性，用以描述巖土物理力學性質的容重、內聚力、內摩擦角，坡角，孔隙壓力比等指標本身就不是唯一確定的，因此，本文將模糊優選神經網路理論引入到滑坡穩定性評價中來，以求探討一種邊坡穩定分析的新方法。
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