neural network model 中文意思是什麼

neural network model 解釋
神經網路模型
  • neural : adj. 【解剖學】神經(系統)的;神經中樞的;【解剖學】背的,背側的。adv. -ly
  • network : n. 1. 網眼織物。2. (鐵路、河道等的)網狀系統,網狀組織,廣播網,電視網,廣播[電視]聯播公司。3. 【無線電】網路,電路。4. 【計算機】電腦網路,網。
  • model : n 1 模型,雛型;原型;設計圖;模範;(畫家、雕刻家的)模特兒;樣板。2 典型,模範。3 (女服裝店僱...
  1. 21 callan e, kent d, guenther h, vorperian k. an auditory - feedback - based neural network model of speech production that is robust to developmental changes in the size and shape of the articulatory system

    但是要證實本文對人的語音生成和感知系統的闡述還需要許多定量的實驗。本文作者希望我們的研究能起到一個拋磚引玉的作用,引起更多的研究者的關注和興趣。
  2. As for the representation of the individuated pattern - base, we introduces a new classification representation method based on multi - users and multi - topics, so as to make each profile only denote one user ' s one topic. this method makes it possible to express explicitly the user ' s interest. as for the creation of the individuated pattern - base, we adopt the hopfield neural network model, which has the function of ample association and remembrance and may be used to associate with the user ' s interest to create the initial individuated pattern - base

    對于個性化模式庫的表示,本文給出了一種多用戶多主題的分類表示方式,使得每個profile文件只表達一個用戶的一個主題,可以更清晰的表達用戶的興趣;對于個性化模式庫的建立,本文採用了機器學習中的hopfield神經網路模型, hopfield網路具有豐富的聯想記憶功能,可以用來對用戶興趣進行聯想,建立用戶的初始個性化模式庫;對于個性化模式庫的維護,採用了基於用戶反饋的學習方法。
  3. Marine diesel union fuzzy neural network model can not only reflect the fuzzy character and logicality of main engine, but also avoid the joints between irrelevant parameters, simplify the network structure, and decrease the calculation. 2

    船舶柴油機組合模糊神經網路模型可以反映主機系統的模糊特性和邏輯特性,簡化了網路結構,避免了無關性能參數之間的連接,減少了計算量; 2
  4. Nonlinear dynamic neural network model for rocket propulsion systems

    一種火箭推進系統非線性動態神經網路模型
  5. This thesis has studied the dynamic features of a class of the discrete - time neural network model of two neurons, such as the convergence and periodicity and etc. the function of the neuron signal transmission in this model, which belongs to three piecewise constant argument, indicates the following charactersif the signal of one neuron on the network is active between a and b, it will produce invariable encouragement effect on another neuron ; if the signal of one neuron is lower than a, it will produce invariable restrain effect on another one, if the signal of one neuron is higher than b, it will produce no effect on another one

    本文研究了一類二元離散人工神經網路模型的解的收斂性及周期解的存在性等動力學特徵。該模型的神經元信號傳遞函數是三段常數不連續函數。這種信號傳遞函數表明如果某神經元的信號在a與b之間活躍,則它對另一個神經元產生恆定的激勵效果,如果某神經元的信號低於a ,則它對另一個神經元產生恆定的抑制效果,如果某神經元的信號高於b ,則它對另一個神經元不產生作用。
  6. This thesis introduces the working principle, craftwork requirement, modeling process, control strategies and the realization of lf refining furnance bottom blowing argon control system. through the study and analysis of bottom blowing argon process control system, the thesis discusses the mean neural network model of controlled object and the mathematical models of the exectors, pwm adjustable pressure controller and pcm adjustable flux controller according to the relevant liquid knowledge and relevant data, including design data, test data and running data. to begin with the craftwork reguirement of bottom blowing argon and the actual instance of the control system, it presents the strategies of fuzzy parameters self - adaptive pid control used in pressure difference inner loop and fuzzy plus pi compound control used in flux outer loop which are based on the above modeling in order to carry out the accurate control of argon flux

    本文介紹了lf精煉爐底吹氬過程式控制制系統的工作原理、工藝要求、建模過程、控制策略以及控制系統的實現。通過對精煉爐底吹氬過程式控制制系統進行研究與分析,並根據流體力學的有關知識以及有關數據(其中包括設計數據、試驗數據和運行數據) ,建立起了被控對象的平均神經網路模型和執行機構(即pwm調壓器和pcm調流器)的數學模型。在此模型的基礎上,從底吹氬工藝要求和控制系統的實際情況出發,提出了壓差內環模糊參數自適應pid控制策略和流量外環模糊pi復合控制策略,以實現氬氣流量的精確控制。
  7. The trained neural network model can be used to solve a variety of problems emerged in rf / microwave circuit design, such as in microwave circuit cad, the established model structure can be used to characterize the nonlinear behavior of microwave circuits

    如用於微波電路cad ,可用所建立的模型結構來描述這么一類微波電路的非線性行為特徵;如用於微波電路設計,則可進行如共面波導、晶體管、傳輸線、濾波器和放大器等的設計;如用於微波電路優化,則可用所建立的電路模型優化電路參數,進行阻抗匹配等。
  8. Through the simulation and error comparison between classics regression model and neural network model, it showed that bp should be applied in liquid concentration measurement system to improve measurement accuracy and decrease the non - linear effect from temperature

    通過模擬研究,與傳統的回歸模型進行誤差對比,得出了應採用bp神經網路技術建立智能化液漿濃度測量模型,提高測量精度,克服溫度變化非線性影響的結論。
  9. Simulation results show that both of them have satisfactory performance and strong robustness. 2. to ph processes, which are nonlinear and time varying, the neural network model is structured and the learning algorithm is presented, based on which the model - free controller is designed, while the controller gain is scheduled by a fuzzy method

    針對具有嚴重非線性和不確定性的ph中和過程,給出一種神經網路模型,提出了一種神經非模型控制方法,該方法利用模糊演算法在線調整神經網路控制器的增益,模擬實驗表明這種基於神經網路的非模型控制方法能有效控制ph過程,具有優良的控製品質和強魯棒性。
  10. To the level control problem of a spherical tank, two model - free control methods are proposed. in the former method, the takagi - sugeno fuzzy model is used to tune the neuron controller gain. in the latter method, the model - free control method using the neural network model proposed for nonlinear plants is presented

    針對具有非線性特性的球形容器液位受控對象,從增益自調整和非線性補償兩個角度,分別提出了兩種非模型控制方法,前者採用t - s模糊模型對神經元控制器的增益進行在線整定,後者使用本文建立的非線性神經元網路對球形容器進行非模型控制。
  11. Neural network model for solving elastoplastic contact problem

    彈塑性接觸問題神經網路計算模型
  12. Neural network model for examination of the temperature characteristics of boundary film on friction surface

    摩擦表面邊界膜溫度特性的神經網路模型
  13. We use neural network model to implement correction part, train it using the samples of history disaster data, and correct the computing result of the former, then get the ideal result, which improves the prognostication precision. the property loss evaluation method targets insurance item as evaluation object. by using the collected data effectively, it builds a model using the method of rbf neural network, and this model is used to evaluate the property loss

    災情修正部分採用神經網路模型,以歷史災情情況為樣本進行訓練,對前面計算的結果進行修正,從而得到理想的結果,使得預測精度進一步提高;財產損失評估方法以保險標的為評估對象,有效利用收集到的信息,運用rbf神經網路方法建立模型並進行財產損失評估。
  14. Time series neural network model for hydrologic forecasting

    水文預報的時間序列神經網路模型
  15. Prediction of water quality index in qiantang river based on bp neural network model

    神經網路的錢塘江水質指標的預測
  16. We also build a series of models, including grey association model, grey - cluster model, grey prediction model, grey - neural - network model, grey - markoff model, grey - sequence model, etc. besides these, the author also apply these models in securities basic analysis and technological analysis

    這些模型包括灰關聯模型、灰聚類模型、灰預測模型、灰神經網路模型、灰馬爾可夫模型、灰序列模型、增長率和發展態勢挖掘模型等等。除此之外,作者還將這些模型應用於證券分析領域,分別在證券分析領域的基本分析方面和技術分析方面做了卓有成效的實證應用研究。
  17. Research on combustion temperature fuzzy neural network model of incinerators

    垃圾焚燒爐爐溫控制模糊神經網路模型研究
  18. Improving the architecture - based neural network model by using hierarchical control theory

    用遞階控制思想改進基於結構的神經網路模型
  19. ( 7 ) from analysis, the smg model with decaying recursion updating is the most suitable model for reservoir 10 day runoff forecast at liujiaxia and longyangxia. and neural network model is the next

    ( 7 )通過對比分析,認為加衰減遞推實時修正的smg模型是最適合黃河上游的中長期水文預報模型,神經網路次之。
  20. Presents the application of fault prediction technique and the way of predicting its numerical values, the algorithm given for the neural network model in the prediction process, and illustrates with the gas pipeline of a space propulsion system as an example the realization of fault prediction by combining the neural network and the fault prediction technique with the diagnosis expert system to form a fault prediction system

    探討了故障預報技術的應用及其數值預測方法,給出了神經網路模型在預測過程中的演算法.把神經網路、預測技術和診斷專家系統相結合建立了一個故障預報系統;以空間推進系統氣路部分的故障為例,實現了故障的預測
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