模糊熵 的英文怎麼說
中文拼音 [móhúshāng]
模糊熵
英文
fuzzy entropy-
By two ways, this paper debates the theory of fracture detection : on one hand by the way of edge detection in image processing ; on the other hand by time series analysis. the detection by time series analysis is more antinoise than edge detection in image processing. edge detection theory in image processing mainly includes correlation data, fuzzy edge detection, entropy operator edge detection and gradient edge detection
圖像處理中的邊緣檢測的方法主要包括相干數據體法、模糊邊緣檢測法、基於熵運算元的邊緣檢測法、梯度邊緣檢測法；其中模糊邊緣檢測法比較依賴于參數的選擇，其渡越點兩邊的像素區別明顯；熵運算元的檢測方法則是檢測的圖像邊緣比較光滑，連通性好；梯度檢測法可以使用不同的運算元核，演算法比較簡單；相干數據體對于總體的大的裂縫的分佈具有比較奸的反應。Firstly, we study the construction of emotion - speech template database, and analyze the common features such as pitch, energy and formant. after choosing the useful features by using fuzzy entropy effectiveness analysis, we get better performance with the application of neural network. in addition, we propose some more efficient features such as speech rate, pitch slope, mel - frequency cepstral coefficients and its transient parameters, and design a processing model based on vector quantization for cepstral features to fusing different features
本文首先介紹了情感語音數據庫的建立情況，然後研究了基音頻率、振幅能量和共振峰等目前常用的情感特徵在語音情感識別中的作用，並且通過一種基於模糊熵的特徵有效性分析方法進行了有效特徵的篩選，應用人工神經網路建立了初步的語音情感識別模型，經過實驗發現特徵篩選后系統的識別效果有著一定程度的提高。Aspect the evaluation in the now available expressway construction project management is chiefly concentrated at economy with the technology, and to manages the twist hempen thread imitates that the research which appraised chiefly includes in effect which inspected and control evaluation and the construction course the evaluation of some one quotas, the unified evaluation system of not formation ; the twist hempen thread effect assessment method is managed to the now available project item, and stopping certain tier face in the item construction mostly, assessment method adaptability is wrong, and lacks the synthetical evaluation to the scattered assessment method of selection submitted a tender such as beckoning and so on
現有高速公路建設項目管理中的評價主要集中在經濟和技術方面，而對管理績效評價的研究主要包括監理的效果評價和施工過程中的一些單指標的評價，沒有形成統一的評價體系;現有的工程項目管理績效評價方法，諸如招投標的選擇之類的零散評價方法，大多停留在項目施工的某一層面，評價方法適應性差，缺少綜合評價。本文通過對現有高速公路建設項目管理評價體系存在問題的分析，結合高速公路建設項目管理的特點，構建了高速公路建設項目管理績效評價內容、指標體系，運用模糊評價法、專家評價法、熵評價法等對高速公路建設工程項目管理績效做出了綜合評價。Application of fuzzy multi - hierarchy evaluation and fuzzy entropy to the decision of submerged depth of arch - bridge
用模糊評價法和模糊熵確定拱橋洪水淹沒深度The enhancement of eye funds image based on an improved fuzzy algorithm
基於模糊熵及遺傳演算法的圖像增強技術Defining the evaluation targets and setting up the fuzzy entropy model of logistics operation, an example evaluation was given to the logistics operation of specific project of an ocean petroleum platform construction company, which hereby lays foundation for improvement of the project management and logistics operation of the enterprise
建立了物流運行模糊熵模型，以海洋石油平臺的專業建造公司為對象，用模糊熵模型對其承包的大型海上採油平臺項目的物流運行進行了定量評判，對改善項目管理和物流運行，按期實現項目規定目標具有現實指導意義。Considering the fuzziness of some boundary conditions enviroment media, and especially some loads in the engineering structure analysis, we go further into the computation based on the dynamic problem of fuzzy finite element ( ffe ), study further and systematically the analysis and solution. the principle of fuzzy minimum potential energy is established, and the balance equation of fuzzy finite element is reasoned by making fuzzy variation. at the same time, the dynamic balance equation of stochastic by making stochastic variation ， also the fuzzy stochastic dynamic balance equation is deduced. based the theory that the degree of the fuzziness and probability can be measured, in the other word, by using the concept of fuzzy entropy and entropy, pure fuzzy dynamic structure is given through transforming the probability to fuzziness. for the fuzzy parameter can be regarded as a fuzzy vector with dimensions, the structure ' s eigenvalue, by the theory of small parameter
建立了模糊瞬時最小勢能原理，運用模糊變分原理導出了模糊有限元動力平衡方程；同時，利用隨機變分原理導出了動力問題的隨機有限元方程，同時得到了模糊隨機動力問題的有限元平衡方程。根據模糊度和概率度可以度量的原理，即利用模糊熵和概率熵的概念，把結構的隨機性等效地轉化為結構的模糊性，得到純粹模糊性的動力結構。把結構所具有的模糊參數看作一個維的模糊向量，利用小參數攝動原理，把結構的特徵值，特徵向量和位移都在模糊向量的均值處進行泰勒展開，得到一組遞歸方程，即可以求得結構的模糊特徵值，特徵向量和模糊位移。Data generalization is a kind of data model in knowledge mining. fuzzy entropy and fuzzy modifying bayesian method are used to generalize the trouble diagnosis data in fms
採用基於模糊熵的最大增益和模糊修正貝葉斯的類屬演算法，計算fms的故障分類問題，說明了知識挖掘的數學過程。I improve the back propagation arithmetic, and apply fuzzy entropy to the training and studying of nerve network, a new arithmetic based on fuzzy entropy and error is presented
對現有的bp演算法進行了改進，將模糊熵用於神經網路的訓練和學習，提出一種基於模糊熵準則和誤差平方和準則的多準則模式識別方法。First, we analysis the general theoretical model of video segmentation. secondly, based on the model, an automatic detection algorithm of motion - changed regions is proposed from the point of fuzzy entropy clustering. motion - changed regions are detected, using a fuzzy clustering rule to distinguish between the relative noisy and motion - changed regions in time - differenced image
論文首先討論了時差分視頻分割的一般理論模型，然後在建立的視頻分割模型的基礎上，從模糊熵聚類的角度出發提出了一種視頻運動變化區域自動檢測的方法，通過建立的模糊分類準則在差分圖像中對運動變化區域和相對噪聲區域進行劃分，從而得到運動變化區域。Multi - rules neural network learning part decreases the dimensions of attribute collection, to reach the goal of simplifying the input ; we stress the multi - rules learning algorithm based on fuzzy entropy rule ; at the same time, all the knowledge available is used to design the input layer, hidden layer and output layer of the neural network
多準則神經網路部分對客戶屬性集進行維數約簡，重點介紹了以模糊熵準則為基礎的多準則學習方法，同時提出了網路輸入層、隱含層及輸出層的構造方法。By analyzing expression between a and fuzzy entropy from the view of analytics, this paper analyses the relationship of between a and fuzzy entropy and the changing trend of fuzzy entropy function with the increase of a, then discusses the sensitivity of the parameter a to classification result such as total nodes, rule number, classification accuracy of fuzzy decision tree, proposes an experimental method of obtaining optimal a, it is proved by experiment that the optimal value a obtained by this method can make the classification result of fuzzy decision tree best, and therefore provides the academic evidence of selecting parameter a in order to gain the best classification result
本文在visualc + +軟體開發平臺及模糊id3演算法的基礎上，從解析的角度出發，通過分析參數與模糊熵之間的函數關系式，討論了隨著的增加，模糊熵函數的變化趨勢，進一步分析了參數對模糊決策樹的分類結果在訓練準確率、測試準確率、規則數等方面所表現出的敏感性，探討了得到最優參數的實驗方法。實驗證明，利用這一方法得到的最優參數的值，可以使模糊決策樹的分類結果達到最好的效果，從而為人們用模糊決策樹進行分類時選取參數以獲得最優的分類結果，提供了良好的理論依據。Some properties of fuzzy entropy on addition and multiplication
加法與乘法下的模糊熵Some notes on the fuzzy entropy of vague set
集上模糊熵的幾點注記Image threshold using fuzzy entropy based on convex polynomial
基於凸多項式模糊熵的圖象閾值方法Fuzzy entropy and multi - threshold image segmentation based on genetic algorithm
基於遺傳演算法的模糊熵多閾值圖像分割Multi - objective fuzzy optimization model based on fuzzy entropy and its application
基於模糊熵的多目標模糊優選模型及其應用With has been corrected by the energy analysis. other way is the motion - changed region detection algorithm based on fuzzy entropy clustering in time - differenced image
第二種方法是基於時差分模糊熵聚類的運動變化區域檢測演算法。Applying optimized entropy weight model of multicriteria decision - making to post - occupancy evaluation
基於模糊熵的中藥學教學效果評估模型研究In building fuzzy decision tree, each expanded attribute ca n ' t classify the class label clearly like decision tree, but the cases covered with the attribute - values have some overlap. so the entire process of building trees is based on a significant level a, the import of a can reduce such overlap in some degree, decrease the uncertainty of classification and improve classification result
在模糊決策樹的產生過程中，用模糊熵選擇的擴展屬性不能像經典決策樹那樣將類清晰的分開，而是屬性術語所覆蓋的例子之間有一定的重疊，因此樹的整個產生過程在給定的顯著性水平的基礎上進行，參數的引入能在一定程度上減少這種重疊，從而減少分類的不確定性，提高模糊決策樹的分類結果。分享友人