fuzzy variable造句
例句與造句
- Gis - based soil quality evaluation with fuzzy variable weight
的土壤質(zhì)量模糊變權(quán)評(píng)價(jià) - Least square estimation of fuzzy linear regression models with fuzzy variables
線性回歸模型的最小二乘估計(jì) - Decentralized fuzzy variable - structure control for flexible space structures
柔性空間結(jié)構(gòu)的分散模糊變結(jié)構(gòu)控制 - Application of induction motor based on fuzzy variable structure control
模糊變結(jié)構(gòu)控制在感應(yīng)電機(jī)控制中的應(yīng)用 - Tlcd semi - active control methodology for eccentric buildings using discrete - time fuzzy variable structure law
窄限法得到的整體可靠性指標(biāo)與點(diǎn)估計(jì)法 - It's difficult to find fuzzy variable in a sentence. 用fuzzy variable造句挺難的
- So in the fourth chapter a practical method for solving linear programming problems with fuzzy variables is discussed
因此在第四章中，為解決一類具有模糊變量的線性規(guī)劃問題提出了一種切實(shí)可行的方法。 - Some arithmetic rules for fuzzy variables were developed . several efficient methods for solving the static governing equations of fuzzy fem were presented
提出了區(qū)間變量的若干運(yùn)算規(guī)則，和模糊有限元靜力控制方程的求解方法。 - The method of decoupling - based adaptive fuzzy variable structure control is put forward , it is a new try of the control strategy for high - accuracy optical - electronic measurement and control system
提出了一種基于解耦的自適應(yīng)模糊變結(jié)構(gòu)控制策略，為光電測(cè)控系統(tǒng)的控制策略提供了新的思路。 - After that , the crisp equivalences are also discussed for different models when fuzzy variables are characterized by triangular fuzzy numbers , and the procedure is given to solve the deterministic models based on the genetic algorithm
當(dāng)模糊變量是三角模糊數(shù)時(shí)，討論了模糊規(guī)劃模型的清晰等價(jià)形式，并采用遺傳算法給出了求解模型的具體步驟。 - Based on current data of energy consuming quantum about rolling reheat furnace , its combined forecasting model was established by using conceptions such as the relative error , the tendency of the forecasted object and gray basic weight due to the method of fuzzy variable weight
摘要基于已有的軋鋼加熱爐的能耗數(shù)據(jù)，引入了各預(yù)測(cè)方法的預(yù)測(cè)相對(duì)誤差、預(yù)測(cè)對(duì)象的變化趨勢(shì)和灰色基本權(quán)重等概念，建立了軋鋼加熱爐的能耗模糊變權(quán)重組合預(yù)測(cè)模型。 - Based on the theory of risk analysis and fuzzy mathematics , three calculation models of fuzzy risk are established and solution is presented . this solution transforms fuzzy variables into random variables by level cut set so that fuzzy risk can be calculated with traditional risk calculation methods
從而運(yùn)用風(fēng)險(xiǎn)分析理論與相關(guān)的模糊數(shù)學(xué)知識(shí)建立了模糊風(fēng)險(xiǎn)的三種計(jì)算模型，并提出采用水平截集將模糊變量模糊化處理為非模糊量計(jì)算模糊風(fēng)險(xiǎn)的求解方法。 - Avoiding the use of mathematic models , the fuzzy logical control ( flc ) system meets the control demands of the tunnel ventilation process well which is a nonlinear distribution system . but because of its lacking of learning and adaptive ability , many problems has emerged when using flc : the membership functions of the fuzzy variables cannot be changed , the fuzzy logical rules cannot be modified automatically when environmental variables such as traffic model , average exhaust , etc , are changed . for this reason , the paper uses fuzzy neural network control ( fnnc ) system to improve the control process
模糊控制系統(tǒng)避開了數(shù)學(xué)模型，能很好適應(yīng)公路隧道通風(fēng)系統(tǒng)非線性和分布式參數(shù)特征，但是模糊控制系統(tǒng)本身的學(xué)習(xí)和適應(yīng)能力差，導(dǎo)致了模糊變量各語言值隸屬函數(shù)和控制規(guī)則不能隨著環(huán)境參數(shù)(如交通量、基準(zhǔn)排放量等)的改變而自動(dòng)調(diào)整和修改等問題，本文將具有強(qiáng)大學(xué)習(xí)能力的神經(jīng)網(wǎng)絡(luò)融合到模糊控制系統(tǒng)中，研究和探討了隧道通風(fēng)模糊神經(jīng)控制方法。 - Abstract : according to the characterestic of resistance furnace temperature control , temperature rising one - way control , large time delay and time - variation of parameter , using method of fuzzy compositional rule of inference establish fuzzy model and design fuzzy cntroler . in order to increase control system precision , it gives a fuzzy variable k , and sets parameter self - adjusting fuzzy control system . this system can on line self - adjusting controller parameters according to the error and variations of the error . it makes the system steady precision improved
文摘:根據(jù)電阻爐溫控制的特點(diǎn)，即只有升溫單向控制、滯后較大且具有參數(shù)時(shí)變性，利用模糊推理合成法建立模糊模型并進(jìn)行模糊控制器設(shè)計(jì)，為提高模糊控制的精度，引入模糊變量k ，構(gòu)成參數(shù)自調(diào)整模糊控制系統(tǒng).該系統(tǒng)可根據(jù)誤差和誤差變化在線自動(dòng)調(diào)整控制器參數(shù)，使系統(tǒng)的穩(wěn)態(tài)精度得到改善 - This paper mainly deals with the subjects below : the problem on fem analysis , general reliability analysis and calculation , and optimization based on the general reliability of the random or fuzzy parameters structure ; and also brings forward a method for getting the fuzzy answers from the fem equation by taking the fuzzy multiplier from a fuzzy variable ; in the fem analysis and structural reliability optimization , the randomcity and fuzziness of the structural physical parameters and the load applied on the structures are all considered
文中對(duì)隨機(jī)和模糊參數(shù)結(jié)構(gòu)在不確定性荷載作用下的結(jié)構(gòu)有限元分析、可靠性分析和基于可靠性的優(yōu)化設(shè)計(jì)等問題進(jìn)行了研究。以桿系結(jié)構(gòu)為對(duì)象，提出結(jié)構(gòu)分析的模糊因子方法，其中分別或同時(shí)考慮了結(jié)構(gòu)材料的物理參數(shù)、構(gòu)件的幾何尺寸和作用荷載幅值等的隨機(jī)性和模糊性；對(duì)結(jié)構(gòu)響應(yīng)（位移、應(yīng)力）為模糊變量時(shí)的廣義可靠度進(jìn)行了推導(dǎo)。 - In the first place , the thesis analyzes the position and function of buy based on supply chain of the food processing industry , studies the characteristics of buy of the food processing industry based on supply chain , and discusses the relations between food processing business enterprise and its supplier . secondly , certain buy optimization model of multi - suppliers and one food processing enterprise is established with ration method , and then this model is expanded to multi - suppliers and multi - food processing enterprises . thirdly , if regarding the production ability of the supplier and the demand of food processing enterprise as fuzzy variables , the optimization model for multi - suppliers and multi - food processing enterprises based on supply chain is established with fuzzy chance constrained programming
分析采購(gòu)在食品加工業(yè)供應(yīng)鏈中的地位與作用，探討了基于供應(yīng)鏈的食品加工業(yè)采購(gòu)的特點(diǎn)，研究了食品加工企業(yè)與其供應(yīng)商之間的關(guān)系；采用定量方法，建立多供應(yīng)商和單一食品加工企業(yè)的確定性采購(gòu)模型，擴(kuò)展到多供應(yīng)商和多食品加工企業(yè)的確定性采購(gòu)模型，最后，充分考慮不確定性因素，把供應(yīng)商的生產(chǎn)能力、食品加工企業(yè)的需求量看作是模糊的變量，運(yùn)用模糊機(jī)會(huì)約束規(guī)劃建立了基于供應(yīng)鏈的多供應(yīng)商和多食品加工企業(yè)的不確定性采購(gòu)優(yōu)化模型。
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