fuzzy algorithm

"fuzzy algorithm"的翻譯和解釋

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Secondly , the basic theory and algorithm of bp neural network and fuzzy control are presented , and to characteristics of bp neural network and fuzzy logic are discussed respectfully . in this paper a new active control algorithm , the neural network and fuzzy algorithm is proposed by making use of their superiority to the full
然后介紹了bp神經網絡和模糊邏輯的基本原理和算法，分別討論了神經網絡和模糊邏輯的特點，分析了各自的優(yōu)點和不足，充分利用了二者的優(yōu)點，提出了基于bp神經網絡與模糊邏輯相結合的結構振動控制算法。
According to the special characters of a multi - roll cold tandem mill , a rolling force prediction model based on fuzzy algorithm and cerebellum model articulation controller ( cmac ) combined with the traditional model was designed to improve the precision of rolling force prediction
摘要針對寬帶鋼多輥冷連軋機組特點，為提高軋制力的預報精度，在結合傳統(tǒng)軋制壓力模型的基礎上把模糊算法和神經網絡有機結合，設計出基于模糊小腦模型神經網絡的多輥冷連軋機軋制力預報模型。
To overcome the shortcomings of the traditional fuzzy algorithm , including complex management of diagnosis system , high difficulty in improvement and being unfavorable to accumulate experiences , the improved fuzzy algorithm is introduced to the state diagnosis for complex system , the model of state diagnosis for complex system based on the improved fuzzy algorithm is established , and a sample case is adopted to contrast and verify the state diagnosis model based on the traditional fuzzy algorithm and the state diagnosis model for complex system based on the improved fuzzy algorithm respectively , which indicates that although the latter is inferior in the speed of diagnosis , it has the significant advantages in simple management , easiness in improvement , accurate diagnosis , abundant diagnosis information and wide applications , so that its comprehensive performance is far beyond that of the diagnosis model based on traditional fuzzy algorithm
摘要為了克服傳統(tǒng)模糊算法的診斷系統(tǒng)建模復雜、改進難度大、不利于經驗積累困難的缺點，在復雜系統(tǒng)的狀態(tài)診斷中引入了改進的模糊算法，創(chuàng)建了基于改進模糊算法的復雜系統(tǒng)狀態(tài)診斷模型，并以一個實例分別比較驗證了基于傳統(tǒng)模糊算法的狀態(tài)診斷模型與基于改進模糊算法的復雜系統(tǒng)狀態(tài)診斷模型，結果表明基于改進模糊算法的復雜系統(tǒng)狀態(tài)診斷模型雖然在診斷速度方面稍遜一籌，但具有建模簡單、模型改進容易、診斷準確、診斷信息豐富、適用性廣泛等顯著優(yōu)點，其綜合性能大大優(yōu)于基于傳統(tǒng)模糊算法的診斷模型。
We mainly discuss the way to design a sensor based on can bus , analyze some fuzzy algorithms and at the same improve an algorithm in order to adapt to the control for large greenhouse , discuss the blocking design method for display , and , at the same time , analyze the configuration design method
作者主要研究了基于can總線技術的現(xiàn)場總線傳感器的設計方法，并設計了一款傳感器；分析了幾種模糊控制算法并對相關算法作了一些改進使之更加適用于溫室大棚的控制；對圖象顯示的模塊化設計方法作了一些探討，同時對系統(tǒng)的組態(tài)方法作了一些分析。