parameter extraction method 中文意思是什麼

parameter extraction method 解釋
參數提取方法
  • parameter : n. 1. 【數學】參數，變數；參詞；參項。2. 【物理學】參量；（結晶體的）標軸。3. 〈廢語〉【天文學】通徑。vt. -ize 使參數化。
  • extraction : n. 1. 抽出，拔出。2. 【化學】提取（法）；萃取（法）；回收物，提出物；精煉。3. 精選，摘要。4. 血統，家世，出身。5. 【數學】開方，求根。
  • method : n 1 方法，方式；順序。2 （思想、言談上的）條理，規律，秩序。3 【生物學】分類法。4 〈M 〉【戲劇】...
  1. Firstly, influence factors of generalization of neural network are presented in this thesis, in order to improve neural network ’ s generalization ability and dynamic knowledge acquirement adaptive ability, a structure auto - adaptive neural network new model based on genetic algorithm is proposed to optimize structure parameter of nn including hidden layer nodes, training epochs, initial weights, and so on ; secondly, through establishing integrating neural network and introducing data fusion technique, the integrality and precision of acquired knowledge is greatly improved. then aiming at the incompleteness and uncertainty problem consisting in the process of knowledge acquirement, knowledge acquirement method based on rough sets is explored to fulfill the rule extraction for intelligent diagnosis expert system, by completing missing value data and eliminating unnecessary attributes, discretization of continuous attribute, reducing redundancy, extracting rules in this thesis. finally, rough sets theory and neural network are combined to form rnn ( rough neural network ) model for acquiring knowledge, in which rough sets theory is employed to carry out some preprocessing and neural network is acted as one role of dynamic knowledge acquirement, and rnn can improve the speed and quality of knowledge acquirement greatly

    本文首先討論了影響神經網路的泛化能力的因素，提出了一種新的結構自適應神經網路學習演算法，在新方法中，採用了遺傳演算法對神經網路的結構參數（隱層節點數、訓練精度、初始權值）進行優化，大大提高了神經網路的泛化能力和知識動態獲取自適應能力;其次，構造集成神經網路，引入數據融合演算法，實現了基於集成神經網路的融合診斷，有效地提高了知識獲取的全面性、完善性及精度;然後，針對知識獲取過程中所存在的不確定性、不完備性等問題，探討了運用粗糙集理論的知識獲取方法，通過缺損數據補齊、連續數據的離散、沖突消除、冗餘信息約簡、知識規則抽取等一系列的演算法實現了智能診斷的知識規則獲取;最後，將粗糙集理論與神經網路相結合，研究了粗糙集-神經網路的知識獲取方法。
  2. The main works are as follows. 1. three key problems of hough transform in track initialization field are presented : parameter quantization, accumulate method and parameter extraction

    以基於hough變換的航跡起始為具體研究對象，比較深入地分析了標準hough變換在應用中存在的三個關鍵問題：參數量化、積累方式和參數提取。
  3. Firstly, it introduces the development of speech coding, along with the significance of the low bit rate speech coding. it also compares the model of traditional dualistic excitation lpc vocoder and the multi - band excitation vocoder, and lucubrates the analytical method of frequency domain and time domain in the parameter extraction of multi - band excitation vocoding. secondly, based on the parameter extraction operation of keynote cycle, it adopts time domain in rough estimate operation of keynote and frequency domain in fine estimate operation of keynote, in according to the immediacy required in practice, to minish operation amount

    本文闡述了一種基於fpga的多帶激勵語音編碼器的研究與設計，首先介紹語音編碼研究的發展狀況以及低速率語音編碼研究的意義，接著對比分析了傳統二元激勵lpc聲碼器模型和多帶激勵編碼器模型，並深入研究了多帶激勵語音編碼參數提取的頻域和時域分析法，然後根據實際應用的實時性要求，為了減小運算量，在基音周期參數的提取的演算法實現上，本文採用在時域進行基音粗估運算，在頻域進行基音精細估計運算。
  4. This paper studies the helicopter, the propeller - driven aircraft and the turbofan jet airplane echo modulating feature parameter model and analyses the echo signal feature. it gains the target echo ’ s the cyclical modulation feature by using the complex ar frequency range bispectrum slice. because traditional method in extraction airborne radar ’ s radiant signal feature time has certain insufficiency, this paper proposes the approximate entropy and the norm entropy as the passive feature parameter in the airplane

    由於傳統方法等在提取機載雷達輻射源信號特徵的時候存在著一定的不足，本文提出把近似熵和范數熵作為飛機目標識別的無源特徵參數，給出了提取相應特徵熵的演算法，實現對機載雷達輻射源信號的識別，通過和機載雷達類型的匹配，實現對目標的識別。
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