Preparation and structure identification of head to head polystyrenes 頭頭結(jié)構(gòu)聚苯乙烯的合成及結(jié)構(gòu)表征
Application of 13c - nmr in structure identification of natural products 核磁共振光譜的取代效應(yīng)在結(jié)構(gòu)測(cè)定中的應(yīng)用
Isolation and structure identification of chemical principles from paeonia lactiflora pall 赤芍化學(xué)成分的分離與結(jié)構(gòu)鑒定
Research on the structure identification of fuzzy controller ' s rules based on the limiting structure theorem 一種基于極限理論的模糊控制器規(guī)則結(jié)構(gòu)的研究
Application of fuzzy clustering analysis is investigated for the structure identification of fuzzy neural network 研究了模糊聚類(lèi)分析在多變量模糊神經(jīng)網(wǎng)絡(luò)的結(jié)構(gòu)確定中的應(yīng)用。
4 sugeno m , kang g . structure identification of fuzzy model . fuzzy sets and systems , 1988 , 28 : 15 - 33 . 5 sugeno m , yasukawa t . a fuzzy - logic - based approach to qualitative modeling 首先我們利用模糊數(shù)據(jù)聚集的手法,將變量的宇集分成若干小區(qū)接著在每一小區(qū),采取模糊回歸分析的技術(shù),推演出最佳的模糊限制式。
This paper reviews the isolation , structure identification and bioactivitiy research of ocean natural products , 127 cembranoid diterpenes , in the past decades , providing scientific evidence for reasonable exploitation and application of oceanic organisms 摘要綜述了近年來(lái)海洋天然產(chǎn)物, 127個(gè)西松烷二萜類(lèi)化合物的分離、結(jié)構(gòu)鑒定以及其生物活性研究進(jìn)展,為海洋生物的合理開(kāi)發(fā)利用提供科學(xué)依據(jù)。
According to the analysis of the reason of vibration which comes from reciprocating compressor and the non - stationary characteristic of the signal , in this paper , the method of fault diagnosis in this paper is the model parameter of structure identification and the wave packet decompose 在分析往復(fù)式壓縮機(jī)振動(dòng)產(chǎn)生的原因以及其振動(dòng)信號(hào)表現(xiàn)出來(lái)的非平穩(wěn)性的基礎(chǔ)上,采用了基于結(jié)構(gòu)模態(tài)參數(shù)識(shí)別和小波包分析相結(jié)合故障診斷方法。
It is a difficult problem relates to the structure identification of the system and concerns with the partition of the input and output space and the rule generation of the raw sample data . rough set theory , introduced by zdzislaw pawlak in the early 1980s , is another new powerful mathematical tool to deal with vagueness and uncertainty . it can analyze the imprecise , inconsistent and incomplete information effectively , find out the connotative knowledge and detect the potential rule of the system under consideration 由z . pawlak提出的粗糙集理論是一種刻劃不完整性和不確定性的又一個(gè)強(qiáng)有力的數(shù)學(xué)工具,能有效地分析不精確( imprecise ) 、不一致( inconsistent ) 、不完整( incomplete )等各種不完備的信息,還可以對(duì)數(shù)據(jù)進(jìn)行分析和推理,從中發(fā)現(xiàn)隱含的知識(shí),揭示潛在的規(guī)律。
Check the current and voltage on charge or discharge , use fuzzy control principle and ah approach to estimate the soc , and correct the actual charge to get the exact result , in this work , a multi - layer feed forward neural paradigm is used for soc fuzzy estimator design , and a rapid learning algorithm that is realized model structure identification is proposed also , and find the fuzzy principles make use of their massively parallel architecture and learning capacity 構(gòu)造一多層前饋神經(jīng)網(wǎng)絡(luò)來(lái)進(jìn)行模糊推理,提出了一種快速學(xué)習(xí)算法用于網(wǎng)絡(luò)的學(xué)習(xí)過(guò)程,利用神經(jīng)網(wǎng)絡(luò)的并行計(jì)算、自學(xué)習(xí)的特性,根據(jù)樣本數(shù)據(jù)發(fā)現(xiàn)模糊推理規(guī)則,并在應(yīng)用過(guò)程中對(duì)模糊規(guī)則自動(dòng)修正,提高預(yù)測(cè)準(zhǔn)確性。這種方法不需要對(duì)蓄電池有很多的先驗(yàn)知識(shí),不需要建立復(fù)雜的數(shù)學(xué)模型。