With the help of the fuzzy algorithm in the controller , the output voltage of the power can be controlled and the voltage wave can be adjusted to be symmetric so that the lift can stop accurately , and the shock can be decreased 實(shí)驗(yàn)結(jié)果顯示,采用這種模糊控制的環(huán)流變換器的電壓輸出性能得到大幅改善,波形對稱且非常接近正弦形,能夠保證礦井提升機(jī)停位準(zhǔn)確,減少?zèng)_擊。
This paper presents the design of an automatic equipment fault diagnosis system by integrating the general exploration procedure of artificial neural network with the specialized roles for faults allocation defined in fuzzy algorithms 摘要介紹了一種神經(jīng)網(wǎng)絡(luò)與模糊算法相結(jié)合的自動(dòng)設(shè)備故障診斷系統(tǒng),即將人工神經(jīng)網(wǎng)絡(luò)對故障定位的一般搜索與模糊算法對故障定位的特殊規(guī)則相結(jié)合。
In next section , on basis of discussing negative - pressure - adjusting principle , detailedly summarizes rules of changing negative pressure by adjusting rotate speed of fan motor . then it gives a fuzzy algorithm for the controlling of negative pressure in sliding sealed suction cup 第六,討論了風(fēng)機(jī)負(fù)壓控制原理,詳細(xì)總結(jié)了風(fēng)機(jī)負(fù)壓控制規(guī)則,開發(fā)了滑動(dòng)密封吸盤負(fù)壓模糊控制算法。
This paper try to combine fuzzy theory with the sphere neighborhood model , and then put forward a fuzzy algorithm based on csn ( covered with sphere neighborhood ) . the performance of sphere neighborhood model is discussed and get deeply into in this paper 本文嘗試將模糊數(shù)學(xué)與球面領(lǐng)域覆蓋思想相結(jié)合,提出模糊球面領(lǐng)域覆蓋算法來構(gòu)造神經(jīng)網(wǎng)絡(luò)分類器,并對球面領(lǐng)域覆蓋思想作深入的研究分析。
Kalman filter is exploited for predicting locations of targets and fuzzy algorithm is developed to simulate human memory for determining the probability of targets . experimental results show that the algorithm is effective even though the targets are in heavy clutter and may become occluded 利用kalman濾波進(jìn)行目標(biāo)點(diǎn)的位置預(yù)測,在動(dòng)態(tài)搜索范圍內(nèi)尋找匹配目標(biāo)點(diǎn),然后結(jié)合模糊理論進(jìn)行記憶更新來確定目標(biāo)可能度,實(shí)現(xiàn)了對運(yùn)動(dòng)物體的動(dòng)態(tài)跟蹤。
Exponentially weighted moving average ( ewma ) and fuzzy algorithm for the input samples are also developed to improve its recognition accuracy . numerical simulation results show this model possesses many advantages , such as good self - adaptive ability , quick training and good recognition performance 文中提出了采用歐氏距離判別法作為混合型多特征異常模式的識(shí)別方法;提出了采用數(shù)據(jù)模糊化和指數(shù)加權(quán)滑動(dòng)平均處理兩種提高模型識(shí)別精度的方法。
For other auto - control systems , different fuzzy algorithm are put forward individuel in this paper also . the controlling algorithm of the main controlling system is studyed and simulated . the simulation experiments manifest that the controlling system has small exceeding value and good stability when using this algorithm 掘此,本文對主控制系統(tǒng)提出了控制規(guī)則可調(diào)整的自尋優(yōu)智能控制算法和其它控制系統(tǒng)的模糊控制算法,并對主控制算法進(jìn)行了研究和仿真。
Edge detection and contour tracking are very important in computer vision . because the single pixel edges are needed in computer vision , an algorithm of edge detection and contour tracking is proposed using the good local character and multi - scale character of wavelet transform in the dissertation . the fuzzy algorithm is applied to pick the model maximum points , so that the single pixel edge can be obtained 邊緣檢測和輪廓跟蹤在計(jì)算機(jī)視覺中有著重要的地位,利用小波變換良好的時(shí)頻域局部化特性和多尺度特性,針對計(jì)算機(jī)視覺中需要提取單像素的點(diǎn)線等邊緣的需求,本文提出了一種基于小波變換的邊緣檢測和輪廓跟蹤算法,通過真正的邊緣點(diǎn)是模的局部極值點(diǎn)這一特點(diǎn),應(yīng)用模糊算法對模極大值點(diǎn)進(jìn)一步篩選得到單像素級的邊緣,并在邊緣跟蹤時(shí),有效利用原圖像的信息,通過在小鄰域內(nèi)尋找局部峰值對丟失弱邊緣進(jìn)行了補(bǔ)償。
This article discussed the problems about using fuzzy optimum for multiple resource - constrained in overlapping network , to determine the roles of the difference resources by fuzzy algorithm theory , then we treatments resources by quasi - shared method , and we will final solution this question about multiple resource - constrained in overlapping network 摘要針對工期固定情況下搭接網(wǎng)絡(luò)中的多資源優(yōu)化問題,運(yùn)用模糊優(yōu)選理化確定各種資源的重要性,進(jìn)而對其進(jìn)行同一化處理,最終解決搭接網(wǎng)絡(luò)的多資源優(yōu)化問題。
Aiming at the weakness of being unable to provide numerical value of risk and avoid jamming encountered in the current security evaluation system , this paper presents a quantitative model of network security risk assess system , which is based on fuzzy algorithm and hierarchy 摘要針對網(wǎng)絡(luò)安全風(fēng)險(xiǎn)評估中人為因素多、指標(biāo)難以量化的問題,在分析網(wǎng)絡(luò)安全要素的基礎(chǔ)上,將模糊數(shù)學(xué)的方法運(yùn)用于網(wǎng)絡(luò)安全風(fēng)險(xiǎn)評估中,并結(jié)合層次分析方法,建立了網(wǎng)絡(luò)安全風(fēng)險(xiǎn)的模糊層次綜合評估模型。