聯想反應時 的英文怎麼說

中文拼音 [liánxiǎngfǎnyīngshí]
聯想反應時 英文
associative reaction time
  • 聯 : Ⅰ動詞（聯結; 聯合） unite; join Ⅱ名詞（對聯） antithetical couplet
  • 想 : 動詞1 （思索） think; ponder 2 （推測; 認為） suppose; reckon; consider; think 3 （希望; 打算） w...
  • 反 : Ⅰ名詞1 （方向相背） reverse side 2 （造反） rebellion 3 （指反革命、反動派） counterrevolutionari...
  • 應 : 應動詞1 （回答） answer; respond to; echo 2 （滿足要求） comply with; grant 3 （順應; 適應） suit...
  • 時 : shí］Ⅰ名1 （比較長的一段時間）time; times; days:當時at that time; in those days; 古時 ancient tim...
  • 聯想 : associate; connect in the mind
  1. In order to overcome problems arisen from the application of x fluorescence analysis into complex spectrum produced by archaeological ceramic fragments with multi - element, low content and thick ground, we have employed the artificial neural network into the research of x fluorescence archaeology and conducted three kinds of research works. as the first one, we have applied the linear olam network ( optimal linear association memory network ) and the non - linear bp network ( back - propagation network ) respectively to analyze the complex x fluorescence spectrum of archaeological samples, and taken both results of spectrum analysis to compare with each other. the second, the method of pattern recognition of bp network was tentatively used to perform intelligent identification of production places of these archaeological samples

    針對科技考古中對大量考古陶片進行產地研究時x熒光分析對多元素、低含量、厚基底考古陶片產生的復雜譜分析的問題，將人工神經網路引入x熒光考古中，進行了三方面的研究工作：一是用線性olam網路（最優線性聯想網路）和非線性bp網路（誤差反傳導網路）分別對考古樣品的x熒光復雜譜進行解譜，並比較二者的解譜效果；二是用bp網路模式識別方法對考古樣品的產地進行智能識別；三是為了提高網路運算的可靠性和減小基體效應及電噪聲的干擾和影響，研究並提出了三種網路學習前的譜數據預處理方法。
  2. Firstly, a new joint filterbank precoders and decision feedback equalizers structure is proposed, and the corresponding optimization result based on the maximal mutual information criterion is derived. secondly, the concept of dt canonical model is proposed, which is very suitable for the task of blind signal processing based on the second - order statistical of the observations. thirdly, the methods of blind equalization and identification of the tv dispersive channels are researched systematically based on the proposed dt canonical model, and a subspace blind identification algorithm of the time - invariant channel matrix is developed

    本文創新性的成果在於：提出了預編碼-判決反饋聯合均衡系統結構，並從理論推導得出了對應的最大互信息量最優化設計結果；首次提出了時變色散通道的離散正則模型概念，該模型適宜於利用觀察數據的二階統計量進行盲信號處理；基於離散正則模型對時變色散通道進行了系統的盲均衡和盲辨識方法研究，提出了對時不變通道矩陣的子空間盲辨識演算法；針對誤差傳播效應問題，提出了可以消除誤差傳播效應的兩級盲辨識演算法；提出了基於離散正則模型的直接盲均衡演算法；提出了基於特徵恢復思想的神經網路直接自適應盲均衡演算法。
  3. This dissertation presented two new methods of robust adaptive track control for a class of mimo strong nonlinear system with external disturbance. one method makes use of taylor approximation principle to linearize the mimo strong nonlinear system at the ideal equilibrium point, meanwhile external disturbance is considered, and then designs two on - line neural network controller respectively, which can dynamically compensate the high order items of taylor series and the control signals at ideal equilibrium point under the drive of state error between linear and nonlinear system. a linear feedback controller obtained by pole assignment and two on - line neural network act on the practical mimo high nonlinear system together, guaranteeing the whole system robust stable and tracking the specified signal ; the other method designs three on - line neural networks for this class of system

    本文對於一類含有外部擾動的多輸入多輸出（ mimo ）強非線性系統，提出了兩種新的魯棒自適應跟蹤控制方法，第一種利用了taylor近似的原理，在考慮了外部擾動的情況下，將mimo強非線性系統在理想平衡點處線性化，分別設計了兩個在線神經網路控制器，在線性和非線性系統之間的狀態誤差驅動下動態補償系統的taylor近似高階項及理想平衡點處的控制信號，滿足極點配置方法的線性反饋控制器和兩個在線神經網路聯合作用於實際的被控mimo強非線性系統，在保證整個系統魯棒穩定性的情況下，能夠跟蹤給定的指令信號；另一種方法是針對這類系統設計了3個在線神經網路，分別實時抵消這類非線性系統中的非線性部分、與控制量耦合的非線性項以及外部擾動，使得受控系統的輸出可以完全跟蹤給定輸入參考信號。
  4. That reflects the outdated design of their armed forces, still focused on territorial defence against a soviet invasion ; military plans assume a defined front line with rear staging areas supplied by road

    這些反映出已經過時的部隊計劃仍舊集中在對蘇聯入侵的領土防衛上；各種軍事計劃都設想存在一條明確的前線和後方地區，可以通過公路輸送供應。
  5. This paper simulate oxidation - deoxidize reaction, o enzyme catalysis and the origin of life. the stella mode of oxidation - deoxidize reaction can help student understand chemistry reaction in integer, train student understand correlation from the all and the one. stella simulation help us to research enzyme catalysis promoter stable state former dynamics, and to observe the basic measure of the whole response or some response directly, and offer effective datum that can be used to analysis complicated response mechanism, because of too many relevant disputes of origin of life, to introduce student various kinds of theories maximally, we use stella software to imitate, strive to give students the ultimate thinking space, make them to be able to verify their idea in the models. in this course, teachers and students can observe the result and test the theory through simulation, learn what to happen when the former hypothesis and scene changed, and turn the study way of infusing and absorbing into discussion study, make study especially thinking ability of student get improvements by a large margin

    氧化還原體系的stella模型能使學生對復雜的化學反應有整體理解，培養學生從整體的角度理解各種物質間的相互作用聯系； stella幫助我們對酶催化反應穩態前動力學進行研究，可以直接地觀察整個反應的基本步驟或局部反應，提供可用於分析復雜反應機制的有效數據； stella創建的生命起源的模型，力爭給學生最大的思維空間，使他們可以在模型中驗證他們的想法，在此過程中，教師和學生可以通過模擬以試驗理論、觀察結果，並學習到原有假設或情景改變時會有什麼情況發生，將灌輸性、吸收性的學習方式變為討論式學習，使學生的學習特別是思維能力得到大幅度的提高。
分享友人
分享到 Line

分享到臉書