neuro fuzzy 中文意思是什麼

neuro fuzzy 解釋
控制炊飯
  • neuro : 神經元
  • fuzzy : adj. 1. 有茸毛的，覆著細毛的，如茸毛的。2. 不清楚的。fuzziness n.
  1. Short - term load forecasting based on subtractive clustering adaptive neuro - fuzzy inference system

    基於減法聚類的自適應模糊神經網路的短期負荷預測
  2. The model - free pid control method with neuron tuning gain and the neuro - fuzzy control method for a constant cutting force metal turning process system are proposed. the former method keeps the cutting force to be constant by using the neuron to change the pid controller gain on - line. the latter method construct the fuzzy neuron controller by combing the fuzzy controller and the neuron controller

    針對具有非線性和不確定性的機械加工切削過程，提出了神經元增益自整定的pid控制方法和模糊神經元非模型控制方法，前者採用神經元來在線調整pid控制器的增益，後者將模糊控制器和神經元控制器相結合構成模糊神經元控制器，這樣當對象特性隨切削深度的變化而變化時，所設計的控制器能保持切削力恆定，使系統穩定並具有滿意的動態品質。
  3. According to the state of discharge gap, combining database technology, we adopt neuro - fuzzy control technology to realize real - time control of edm process and auto - adjustment on the basis of process state, which ensure the process is in the state of optimization

    依據放電間隙狀況，通過採用神經模糊控制智能技術，並結合數據庫技術，對電火花成型加工過程進行實時控制，根據加工狀態自動進行調節，保證了加工過程處于優化狀態。
  4. A survey of the development of neural networks, the neuro - control systems and fuzzy control system is summarized

    綜述了神經元網路和神經控制的發展與狀況、模糊控制的研究狀況； 2
  5. An adaptive neuro fuzzy inference system modeling approach is employed for the estimation of brc in terms of the state of available capacity of the mh - ni battery powered electric vehicles

    把自適應模糊推理系統用於估計蓄電池剩餘容量，輸入是電池的溫度和放電容量，輸出是電池的荷電狀態。
  6. In addition, at ncku - re study site, collections of soil water contents and data of rainfall estimate infiltration and runoff in homogeneous unsaturated soil profiles, after net fuzzy - neuro training, to analyze soil infiltration behavior and determine the infiltration and runoff of the region of the subsurface

    中文摘要本研究主要目的將現地資料含水量，運用模糊類神經網路去做訓練，在考慮降雨與土壤含水量，進行未飽和層剖面之地表入滲、逕流分析與推估。
  7. Fusion algorithms are designed at feature extraction level and matching score level, by concatenating feature vectors, and integrating the matching scores using an adaptive neuro - fuzzy inferencesystem ( anfis ), respectively

    最後在特徵提取層和匹配值層設計了融合演算法，分別使用了向量連接法和自適應模糊神經推理系統（ anfis ） 。
  8. The empirical result of analyzing here can be concluded as follows : the error of adaptive neuro - fuzzy inference systems ( anfis ) is the smallest, multivariable fuzzy time series models is the second smallest, and grey forecasting is the third smallest

    實證結果得知在有限資料筆數下，適應性類神經模糊推論系統（簡稱anfis ）預測結果較佳，多變量模糊時間數列模式次之，灰色預測模式第三。
  9. Furthermore, in order to enhance the precision and linearity of the positioning platform, simulations of several numerical control algorithms, such as pid control, fuzzy control and nn ( neuro net ) had been carried out

    在此基礎上，以提高工作平臺的定位精度、改善其線性度為目標，採用了數字控制的方法，對pid整定、模糊控制、神經網路等演算法進行了模擬實驗。
  10. Power load forecast based on principal component analysis and adaptive neuro - fuzzy inference system

    基於主成分分析法和自適應神經模糊推理系統的電力負荷預測
  11. In order to avoid matching the fault symptoms with the identification conditions artificially, ( fuzzy ) neural network was designed for diagnosis according to the optimal decision system. for the continuous quantitative diagnosis data such as the measurement, and the result of signal processing, a new hybrid system of self - organizing map ( som ) / fuzzy c - means ( fcm ), rough sets theory, and adaptive neuro - fuzzy inference system ( anfis ) was presented. firstly, the continuous attributes in diagnosis decision system were discretized with som or fcm

    對于連續的定量故障診斷數據（監測數據） ，以4135柴油機為例，提出了自組織映射（ som ）模糊c -均值（ fcm ） ?粗糙集?自適應模糊神經網路推理系統（ anfis ）集成的具體故障診斷實施方案：首先，應用som或fcm離散故障診斷數據中的連續屬性值；然後，基於粗糙集理論應用遺傳演算法計算診斷決策系統的約簡，按照實際需要確定診斷條件；最後，根據系統約簡設計anfis進行故障診斷。
  12. Now, combining neuro - fuzzy technique and modern optimization technique is a developing trend in computational intelligence fields

    模糊神經技術和現代優化技術的結合是計算智能的一個發展趨勢。
  13. In most of these neuro - fuzzy modeling methods, the anfis ( adaptive - network - based fuzzy inference systems ) method which was proposed by jang in 1993 is the most prominent one, its adaptive property made it possible to be used in adaptive control and learning control directly. in fact, it can replace any neural network of the control systems and carry out the same function. however, it has the same problem as most of the neuro - fuzzy systems - rule explosion problem

    在眾多的神經模糊建模方法中，數jang於1994年提出的anfis -自適應神經模糊建模方法最為突出，它的自適應性質使得它幾乎可直接應用於自適應控制和學習控制；事實上，它可以替代控制系統的任意神經元網路並執行同樣的功能。
  14. The primary objective of this dissertation is to study the intelligent control, such as the neuro - fuzzy control, for the suspension vibration of a full - vehicle model with four mr dampers installed between the sprung - mass and the four un - sprung masses, respectively

    因此，本文以安裝四個磁流變阻尼器的整車懸架為研究對象，探索以神經模糊控制為主要特徵的智能控制策略。
  15. This paper is oriented toward applying fuzzy adaptive genetic algorithms ( faga ) to solve the traveling salesman problem ( tsp ). two new fagas, a self - learning mixed faga and a neuro faga, is studied in the paper

    本文從模糊自適應遺傳演算法在解決組合優化問題中的應用出發，針對旅行商問題提出了兩種新的模糊自適應遺傳演算法?自學習混合模糊自適應遺傳演算法和神經模糊自適應遺傳演算法。
  16. 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。
  17. There are two methods to optimize the parameters and structures of neuro - fuzzy networks : one is the differential coefficient optimization method based on gradient vector ; the other is based on modern optimization methods, such as genetic methods, simulated annealing etc, in which, the researches on genetic methods are most prominent

    目前，對模糊神經網路的權值或結構進行優化的方法有兩類：一類是基於梯度向量的導數優化方法；第二類方法是基於現代最優化技術的非導數優化方法，如遺傳演算法、模擬退火演算法等，其中以遺傳演算法的研究最為突出。
  18. 2. the neuro - fuzzy pd double - layer control method is presented for a experimental nuclear reactor

    針對核反應堆功率控制對象，提出了一種神經元模糊- pd雙層控制方法。
  19. The paper combines artificial neural network, fuzzy inference system, system identification, and does a thorough research on fuzzy - neural network. the research results are as follows : in this paper, we propose a new neuro - fuzzy systems with laplace ( probability density function ) membership function, and proved its universal approximation property by using weierstrass theorem. we get excellent modeling results for nonlinear systems by applying the new neuro - fuzzy model

    本文融合了人工神經網路、模糊推理系統、系統辨識等理論，並圍繞神經網路和模糊推理的結合體? ?模糊神經網路，展開了深入地研究，主要完成了如下研究工作：本文提出一種新型的帶laplace （概率密度函數）型隸屬函數的模糊神經網路模型，並應用微分中值定理和weierstrass定理證明它的通用逼近性。
  20. Before applying neuro - fuzzy network to forecast, the time serious signal is filted through wavelet theory in order to improve the accuracy and speediness of neuro - fuzzy network predictor

    摘要本文在研究運用模糊神經網路進行預測的基礎上，提出應用小波理論對時間序列信號進行去噪，並根據去噪處理在模糊神經網路預測中作相應處理，提高在實際中模糊神經網路預測的準確性與及時性。
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