遞歸長度 的英文怎麼說

中文拼音 [dìguīzhǎngdù]
遞歸長度 英文
recursion length
  • 遞 : Ⅰ動詞（傳送;傳遞） hand over; pass; give Ⅱ副詞（順著次序） in the proper order; successively
  • 歸 : Ⅰ動詞1 （返回） return; go back to 2 （還給; 歸還） return sth to; give back to 3 （趨向或集中於...
  • 長 : 長Ⅰ形容詞1 （年紀較大） older; elder; senior 2 （排行最大） eldest; oldest Ⅱ名詞（領導人） chief;...
  • 度 : 度動詞[書面語] （推測; 估計） surmise; estimate
  • 長度 : length; longitude; size; extent; footage
  1. It is proposed that no qualitative difference can be established between word ? formation rules and syntactic rules, since both types are capable of generating infinite sets of linguistic forms, both are recursive, and neither is subject to limitations on the length of the derivatives

    但這並不表明兩者有質的差別，因為構詞規則和句法規則一樣，有生成無限集合的可能，有遞歸性，理論上沒有長度上的限制。
  2. 3, 4, 5 and ? 6 of this chapter deal respectively with the transient distribution of the queue length of these four queueing systems. such results are obtained as follows : under the condition of the interarrival times distributions and service times distributions of these queueing models which have density function, their transient distribution of the queue length can be represented as an integral, and the integrated term of this integral can be recursively obtained

    在這一章的誇3 、芬4 、縣5和號6中，分別針對這四個排隊模型，討論了瞬時隊長的分佈，最終得到了以下的結果:在這幾個模型的到達間隔分佈和服務時間分佈均具有密度函數的條件下，它們的瞬時隊長分佈可以表示為一個積分，該積分的被積項可以遞歸地求取。
  3. So the paper combined the fuzzy logic control and recurrent neural network, and the recurrent fuzzy neural network ( rfnn ) controller is introduced into the speedsensorless vector control system. moreover, an online parameter training methodology, which is derived from the lyapunov stability theorem and gradient descent method is proposed to increase the learning capability of the rfnn. the rfnn controller has a better performance than the pi controller system ; the effectiveness of the proposed control scheme is verified by simulation results

    因此論文將模糊控制和具有優越動態性能的遞歸神經網路結合起來，取長補短，提出了一種遞歸模糊神經網路控制方法，利用神經網路來實現模糊推理，可動態的調整隸屬函數的形狀、位置以及神經網路遞歸權值，並對其與pi控制器的交流調速控制系統進行了模擬比較，模擬結果表明與普通的pi控制器相比較，遞歸模糊神經網路控制器有較好的動態性能，控制器的收斂速度快、靜差小，系統在遇到參數發生變化和外部不確定性問題時魯棒性、抗擾動性有明顯的提高。
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