模糊數熵 的英文怎麼說
中文拼音 [móhúshǔshāng]
模糊數熵
英文
fuzzy number 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。In ranking the indicator system of affecting cultivated land being selected into prime farmland has been built firstly, which is composed of 18 indicators involved in quality, location, policy attribute and administrative intervention of cultivated land. then based on the character of ranking, the idea of combination decision has been brought forward, ranking cultivated land synthetically with three ranking models including a model by similarity to ideal point, fuzzy optimization model and attribute hierarchy model. in three models the weights are based on hierarchy analysis and entropy weights, considering not only subjective partiality but also the intrinsic information of decision objects, which make the ranking results more scientific, reasonable and credible
在耕地綜合排序中首先建立了耕地入選基本農田的決策指標體系，由耕地質量狀況、區位條件、政策屬性以及行政干預4大決策因素共18個決策指標構成；然後根據排序問題的特點，提出了「組合決策法」的思路，並採用逼近於理想點的排序模型（ topsis ） 、模糊優選模型（ fom ）和屬性層次模型（ ahm ）三種排序方法對耕地進行綜合排序，每種排序模型中均採用基於層次分析法和熵權系數法確定的綜合權重，既考慮決策者的主觀偏好，又充分利用決策對象的固有信息，使排序結果更為科學、合理、可靠。Could reflect the tendency relationship between two genes, while information entropy and fuzzy corr. coef. could reflect the dependency relationship of regulation
線性相關系數和秩相關系數可以體現基因表達調控的趨勢性，信息熵相關系數和模糊相關系數反應調控的依賴關系。Abstract : according to the theory of difference analysis, this paper proposed using mixed - f statistic to determine the optimal class number of fuzzy cluster, and using fuzzy partition entropy to verify whether the class number is optimal, the optimal class number can be determined by the two statistics mentioned above correctly
文摘:根據方差分析理論，提出應用混合f統計量來確定最佳分類數，並應用模糊劃分熵來驗證最佳分類數的正確性，綜合運用上述兩個指標可以準確確定最佳聚類數。Results the numerical example shows that fuzzy relative entropy method and maximum - minimum closeness method have the same results for fuzzy pattern recognition
結果數值例子說明模糊相對熵方法和最大最小貼近度方法得出了一致的模糊識別的結果。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。Based on maximum entropy algorithm, analyzing the blurring mechanism with the aberration of point spread function of imaging system, an effective restoration algorithm for blurred image with mist is proposed in this paper
文章基於最大熵演算法，分析了成像系統點擴展函數畸變導致圖像模糊的機理，提出了一種有效的薄霧模糊圖像的恢復演算法。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。Fast data association algorithm based on maximum entropy fuzzy clustering
基於最大熵模糊聚類的快速數據關聯演算法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。Using the f - ahp model algorithms that based on fuzzy number and interval arithmetic solve the multi - attributes and fuzzy problems of agricultural project appraisal. using entropy weight ranking of f - ahp is more efficiency. using a - cut and index of optimism x. estimate the uncertainty and preference of decision makers
用基於模糊數、區間數運演算法則的f - ahp模型解決了農業項目投資評估的多屬性及模糊性問題；採用熵權使得排序更加科學；通過置信度與樂觀指數考慮了不確定性及決策者的風險態度。Based on the analytic hierarchy process ( ahp ), the method uses triangle fuzzy numbers to establish judgment matrix, and then the entropy weight of the project to be tendered is obtained by fuzzy interval arithmetic in accordance with the confidence level sets and optimistic index ; with which the appropriate project can be e1ected at last
在傳統層次分析法基礎上，採用三角模糊數來建立判斷矩陣，根據置信水平截集和樂觀指數，由模糊區間運算得出擬投標的工程項目熵權，根據其大小來選擇合適的項目。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。According to the theory of difference analysis, this paper proposed using mixed - f statistic to determine the optimal class number of fuzzy cluster, and using fuzzy partition entropy to verify whether the class number is optimal, the optimal class number can be determined by the two statistics mentioned above correctly
根據方差分析理論，提出應用混合f統計量來確定最佳分類數，並應用模糊劃分熵來驗證最佳分類數的正確性，綜合運用上述兩個指標可以準確確定最佳聚類數。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