fuzzies (fuzzy 的復(fù)數(shù)) a. 有微毛的, 模糊的 ; [電] 微毛
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例句與用法
Indexes and weights are firstly fuzzified, then relative membership degree to objectives is obtained by fuzzy operation, and the place of power stations is defined in whole valley 首先對指標(biāo)進行模糊化,通過模糊多目標(biāo)運算得到各目標(biāo)的相對隸屬度,進而確定各個水電站在流域梯級開發(fā)中的位置。
The main advantage of rough sets data analysis is that it does n't require any prior or additional knowledge about the data, which is then used in this paper to analysis the database, acquiring automatically the hierarchical rule sets . in order to ensure maximum consistency of the quantiflcational data, the genetic algorithms is used to get the optimal number and points of division of quantification intervals . at the same time the quantification intervals is fuzzified and crisp rule sets are then transformed to fuzzy rule sets 粗糙集數(shù)據(jù)分析的主要優(yōu)點在于它不要求任何關(guān)于被處理數(shù)據(jù)的先驗或額外的知識,本文利用其對數(shù)據(jù)庫進行分析計算,自動獲取數(shù)據(jù)庫在各個層次上的規(guī)則集:在保證量化后的數(shù)據(jù)庫具有最大一致性的前提下,利用遺傳算法求取連續(xù)屬性值的最優(yōu)量化區(qū)間個數(shù)及各個區(qū)間分點值;同時將量化區(qū)間進行模糊化,將多層次清晰規(guī)則集轉(zhuǎn)化為模糊規(guī)則集,利用模糊推理進行決策以提高魯棒性。
In the neural networks control, the structure and the working principle of the cerebella model articulation controller ( cmac ) are discussed firstly, and then based on the mutual supplements and the similarities between fcmac and fuzzy logic, fuzzified cerebella model articulation controller ( fcmac ) is proposed . the learning control system based fcmac are introduced in detail . through the example of fcmac used in the swinging up a pendulum control, the excellent control effects are demonstrated 在神經(jīng)網(wǎng)絡(luò)控制方面,本文主要研究了小腦模型關(guān)節(jié)控制器(cmac),并進而根據(jù)cmac與模糊邏輯的互補性與相似性,提出了模糊小腦神經(jīng)網(wǎng)絡(luò)控制器(fcamc),詳細討論了fcmac的學(xué)習(xí)控制系統(tǒng)與fcmac的自學(xué)習(xí)機理,通過fcamc對倒單擺控制的具體例子表明,fcmac控制具有優(yōu)良的控制效果和強的魯棒性。