neural network architecture 中文意思是什麼

neural network architecture 解釋
神經網路構築學
  • 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。
  • architecture : n. 1. 建築學。2. 建築（樣式、風格）；建築物。3. 構造，結構；【自動化】（電子計算機的）架構，體系結構。
  1. In addition, many other problems also exist in hardware neural network, including error problem, learning mode, parallel architecture, and also neural network inner linking problem, hidden layer and the realization of the multiplicator and etc. for instance, error problem : hardware neural network employs the limited precision, and will inevitably bring limited precision error

    另外，硬體實現神經網路還存在誤差問題，學習方式，并行結構等方面的問題，還有神經網路內部的連接問題，隱層及乘法器的實現等等。如誤差問題，硬體實現神經網路使用的是有限精度，不可避免的會產生有限精度誤差，選取合適的精度，才能既適合空間的要求，又避免對網路的實現產生一定的影響。
  2. Neural network control is an important mode of intelligent control, and it is widely used in branches of control science, first, the architecture and the learning rule ( error back propagation algorithm ) of multiplayered neural network which is widely used in control system are presentedo especially, the paper refers to the architecture of diagonal recurrent neural network and its learning algorithm - - - - - recurrent prediction error algorithm because of its faster convergence with low computing costo next, before introducing the neural network control to the double close loop dc driver system, the controllers of current and velocity loop are designed using engineering design approach after analysis of the system, simulation models of the system are created

    神經網路控制是智能控制的重要方式之一，它廣泛應用於自動控制學科各個領域。本文首先敘述了控制系統中常用的多層前饋網路結構及演算法（ bp演算法） ，特別提及了能夠較好描述系統動態性能的對角遞歸神經網路和在用遞推預報誤差演算法訓練drnn時取得了較快的收斂速度。其次，應用工程方法分析設計了tf - 1350糖分離機的電流、轉速雙閉環直流調速系統的控制器，作為引入神經網路控制的設計基礎，並建立了系統的模擬模型。
  3. 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
  4. A new architecture for hybrid expert system based upon neural network

    神經網路和專家系統相結合的綜合決策系統結構
  5. Anew neural network algorithm for decision level fusion is also presented in this dissertation. the architecture of this network is novel. it is the thresholds, not the conjunction weights, which are modified, when the network is being trained

    本文還提出了一種新的神經網路演算法用於決策層融合目標識別，該網路結構新穎，網路訓練時修改的是門限而不是連接權值。
  6. In contrast to most existing fuzzy identification methods, this method uses a hierarchical clustering architecture based on a hybrid neural network for decreasing computational cost of fuzzy identification procedures

    與現有方法不同，該模糊辨識方法採用自組織神經網路和模糊聚類網路兩部分組成的三層神經網路來實現。
  7. The following conclusions have been drawn from this research program, : ( 1 ) the model following architecture allows for straightforward implementation of requirements of handling quality standard, and it can be utilized for helicopter handling quality design. ( 2 ) the adaptive model - inverse control theory can provide the referenced helicopter with consistent handling quality throughout its operating envelope, with requiring only an approximate linear model at a single operating point. ( 3 ) the technology of adaptive neural network model - inverse control can reduce costs and period associated with pcs development

    通過該課題的研究，得到以下結論： （ 1 ）參考模型跟蹤結構能夠直接實現飛行品質規范要求，可以用於直升機飛行品質設計； （ 2 ）自適應模型逆控制方法只需一個基準狀態下的近似線性模型，卻可在整個使用包線內提供協調一致的飛行品質； （ 3 ）自適應神經網路模型逆控制技術可節約成本，縮短飛控系統研製周期； （ 4 ）在某些部件部分意外失效或戰損情況下，自適應神經網路具有實現控制的在線快速重新配置、保持飛行品質的潛力； （ 5 ）軌跡跟蹤控制器可以用於任務科目基元模擬及飛行品質評估。
  8. In this paper, to resolve the coupling phenomena between temperature and humidity in wood drying system, a bp neural network based pid controller is proposed and applied to wood drying system. the architecture and learning algorithm of the proposed controller is more simpler and the physical meanings of the input layer ' s neurons and output layer ' s neurons are explicit. based on predefined control rules and self - learning, the bp network changs the scaling integral and differential parameters, therefore is able to control the variants using classical pid control algorithms and at the same time, decoupling control is implemented as well during the control procedure

    本文針對木材幹燥過程中溫、濕度耦合的現象，提出一種將新的基於bp神經網路的pid控制器應用於木材幹燥控制系統的方案，其結構和學習演算法相對簡單，輸入層和輸出層神經元物理意義明確；它根據設定的某一控制規律，通過網路的自學習，調整pid控制器的比例、積分和微分參數，從而利用經典的pid控制演算法得到相應各變量的控制量參與控制，並在該過程中實現解耦控制，而不用給定樣本信號進行在線的學習。
  9. A modular neural network architecture based on parallel cooperation

    并行協作模塊化神經網路體系結構
  10. In this paper, hybrid fuzzy neural networks architecture is proposed. a series of fuzzy neural subnetworks are integrated in this hybrid fuzzy neural networks to perform the task of fault classification. making use of the fault tree of the system to construct the subnetworks and building the hybrid neural network that includes several subnetworks to solve the questions of single neural network

    為此本文提出了一種復合模糊神經網路結構，該神經網路結構集成了一系列模糊神經子網路，來完成故障分類任務，以系統故障樹為設置子網的基礎，建立了含有多個子網的復合模糊神經網路，可以解決單一神經網路面臨的問題。
  11. Using processed experiment data of practical ship plate, the author establishes six linear regression models and three neural network models in this thesis with local contraction being the response variable. the explanatory parameters used in the models are attributed to the collaboration of department of naval architecture, dalian university of technology and dalian new shipyard

    作者在大連理工大學船舶工程系與大連造船廠、新船重工多年合作，通過大量的試驗板與實船板試驗測試，在找到的影響加工成形的主要參數的基礎上，運用回歸分析法，對945鋼水火加工成形進行了試驗、分析。
  12. 3 ) after analyzing advantage and disadvantage of neural network and fuzzy reasoning, a project to solve real - time, fault tolerance and uncertain reasoning problems of c3i systems and a data fusion architecture of c3i systems are proposed

    3 ）在分析人工神經網路和模糊推理優缺點的基礎上，基於互補思想，提出神經網路?模糊推理融合解決方案，以解決c3i數據融合的實時性、容錯性和對不確定信息的推理等問題；提出了基於神經網路? ?模糊推理現代c3i數據融合框架。
  13. The reliability of protection would be enhanced if magnetizing inrush is discriminated. so, this thesis analyses and compares some discriminating methods applied in practice or described in related literatures at present. on the basis of considering comprehensive factors, a method to discriminate between internal faults and magnetizing inrush based on wavelet analysis and dynamic architecture neural network is proposed

    若能將勵磁涌流識別出來，就能提高保護動作的可靠性，因此本文針對當前實際應用的和有關文獻中提到的一些識別方法進行了分析、比較，在綜合考慮多方面因素后，給出了一種基於小波與改進型動態結構神經網路的勵磁涌流識別方法。
  14. Nonlinear dynamic modelling of sensors is an important aspect in the field of instrument technique. the recursive neural network is proposed for nonlinear dynamic modelling of sensors, as its architecture is determined only by the number of nodes in the input, hidden and output layers. with the feedback behavior, the recursive neural network can catch up with the dynamic response of the system. the recursive neural network which involves dynamic elements and feedback connections has important capabilities that are not found in feedforward networks, such as the ability to store information for later use and higher predicting precision. a recursive prediction error algorithm which converges fast is applied to training the recursive neural network. experimental results show that the performance of the recursive neural network model conforms to the sensor to be modeled, and the method is not only effective but of high precision

    根據動態校準實驗結果建立傳感器的動態數學模型，以研究傳感器的動態性能，是動態測試的一個重要內容.討論了遞歸神經網路模型在傳感器動態建模中的應用，給出了遞歸神經網路模型的結構及相應的訓練演算法.由於其反饋特徵，使得遞歸神經網路模型能獲取系統的動態響應.該方法特別適用於傳感器非線性動態建模，而且避免了傳感器模型階次的選擇的困難.試驗結果表明，應用遞歸神經網路對傳感器進行動態建模是一種行之有效的方法
  15. In this case, the author puts forward to new aon - linear neural networks for classing - cc model and its network architecture

    為此作者提出了新的用於分類學習的非線性神經元模型- - cc模型以及相應網路結構。
  16. In this paper, we introduce a new architecture, which stands for fuzzy neural network on the base of the standard additive model, and investigate some learning and adaptation strategies associated with the fuzzy sets

    在本文中我們提出一種以標準可加性模型為基礎，把模糊系統和神經網路相結合的新結構，並給出模糊集合學習和調整的新學習演算法。
  17. The main contribution of the paper is to explore the cluster technology of ejb container, such as load balancing technology, the architecture of ejb container clustering, load balancing algorithm based on bp neural network, etc. it is worthwhile that these technologies are helpful to the developers in the homogeneous cluster field

    本文在ejb容器集群技術上作了一些探索，如負載均衡技術， ejb容器體系結構，基於bp神經網路的負載均衡策略等。這些內容有一定的價值，可以為同類集群研究提供參考，具有一定的借鑒意義。
  18. [ rechtin 92 ] : systems architecture : the underlying structure of a system, such as a communication network, a neural network, a spacecraft, a computer, major software or an organization

    系統架構：系統的底層結構，比如通訊網路，太空船，計算機，主要軟體或組織。
  19. In this thesis, the neural network identification ( nni ) and the neural network control ( nnc ) are investigated in detail in view of the particularities of neural network and architecture structure

    本文針對神經網路和建築結構振動、控制的特點，對神經網路應用於結構辨識和結構控制進行了詳細的論述、研究和實例模擬。
  20. First, the author builds the improved architecture based on behaviors for the mobile robot moro - i, proposes a full strategy of obstacle avoidance for region filling, and defines random obstacle and general obstacle which will be dealt with differently, - moreover, the multi - sensor system is set up which includes five groups of ultrasonic sensors for detecting the environmental information and the artificial neural network is used to fuse the information from each sensor group to achieve a precision of obstacle identification ; finally, the hardware and software are designed for the realization of obstacle avoidance

    本文作者建立了移動機器人改進型基於行為的體系結構，提出了較完善的全區域覆蓋移動機器人的避障理論和策略，定義了突發障礙和一般障礙，並給予不同的處理方式；同時重點構建了多傳感器系統，採用五組超聲波傳感器用於檢測環境信息；基於人工神經網路對每組獲取的信息進行分析和融合，從而較準確地完成了對障礙的識別；最後，通過軟硬體的設計，實現了特定的避障行為。
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