fuzzification造句
例句與造句
- An introduction of the approach of parameter fuzzification and basic identification methods is followed
介紹了參量模糊化方法及基本辨識方法。 - The design of fuzzy controller is consisted by fuzzification of inputs , making fuzzy control rules and defuzzification
模糊控制器的設(shè)計(jì)主要由輸入量的模糊化、模糊控制規(guī)則的生成、模糊判決等三部分組成。 - The acquisition , expression and application of fuzzy knowledge were fulfilled through fuzzification of photothermal traits , establishment of fuzzy logic rules , fuzzy language and inference etc . the goodness of fit to practical situation is up to 92 . 4 %
該系統(tǒng)通過對光溫特性的模糊化、模糊邏輯規(guī)則的制定、模糊推理及解模糊等過程，完成了農(nóng)業(yè)模糊知識的獲取、表達(dá)和運(yùn)用。經(jīng)檢驗(yàn)，該系統(tǒng)與實(shí)際情況的吻合度達(dá)92 . 4 。 - The status quo that city commercial bank ' s financial management existing questions as target fuzzification , responsibility branch - rization , idea obsolescence - rizaticn , method over - simplication , which heavily weaken its own competitiveness and resisting risk ability is worth us paying attention and thinking
摘要城市商業(yè)銀行財(cái)務(wù)管理目標(biāo)模糊化、責(zé)任部門化、理念陳舊化、方法簡單化，嚴(yán)重削弱了自身的競爭力和抗風(fēng)險(xiǎn)能力，值得關(guān)注和思考。 - The fuzzy layer of the hybrid fnn include two kinds of neurons , one is gaussian fuzzification neuron which used to give the continuous input an fuzzy membership value , another is a presented fuzzy cluster neuron which also used to give the discrete input an fuzzy membership value
該混合模糊神經(jīng)網(wǎng)絡(luò)的模糊化層除了具有模糊化神經(jīng)元，還加入一類模糊聚類神經(jīng)元。模糊聚類神經(jīng)元通過預(yù)先計(jì)算的模糊聚類隸屬度矩陣來輸出對應(yīng)于離散輸入的模糊化值。 - It's difficult to find fuzzification in a sentence. 用fuzzification造句挺難的
- The urban traffic trunk is regarded as a large system , and the subsystems are the intersections in the trunk . then we desipi a two - level coordinated fuzzy control method and use ann to implement the fuzzification , fuzzy inference and defuzzification . the arithmetic homs the strongly self - adapt , self - learning and fault - tolerant function
3 )把城市交通干線作為一個(gè)大系統(tǒng)，子系統(tǒng)為干線上的各個(gè)交叉口，在此基礎(chǔ)上，設(shè)計(jì)了一種城市交通干線的兩級模糊協(xié)調(diào)控制算法，并用bp神經(jīng)網(wǎng)絡(luò)實(shí)現(xiàn)控制器的模糊化、模糊推理和清晰化三個(gè)部分，系統(tǒng)具有較強(qiáng)的自適應(yīng)、自學(xué)習(xí)和容錯(cuò)性。