神經動力的 的英文怎麼說
中文拼音 [shénjīngdònglìde]
神經動力的
英文
neurodynamic-
Thirdly, resorting to cooperation - competition model of biomathematics, this thesis proposes a new co - evolution model. simulation results are shown to verify its effect and practicabilitv. last, standard methods for optimizing neural netvvorks are easily trapped into local optimization, and unable to adjust the structure of neural networks, thus their application is limited to certain extent
本文主要驗證和設計適應性操作運算元和小生境方法保持群體多樣性的能力，實驗表明兩種方法都能較好地達到目的；利用生物合作競爭模型設計協同演化來動態地改變群體規模，實驗表明該模型是有效的；人工神經網路是得到越來越廣泛應用的學習系統，但是由於學習演算法存在一定的缺陷，如易於陷入局部極值，難以調整網路的結構等，使神經網路的應用受到一定的限制。Later when ego and superego bloat up like balloons and cover our brain at the apex of the left and right sympathetic nervous systems, the fontanelle bone calcifies, and the all - pervading vital force of divine love gets cut off completely
。右脈掌管行動的意識，包括身體和精神上的活動左脈掌管潛意識和心理，西方醫學認為這是沉睡的力量。左右交感神經系統的活動，使人在大腦頂部形成自我Based on the recent finding on biovision, this paper made a detailed research on the motion biovision model. how biovision system to percept motion and motion form is the topic in this paper
本論文在國際上生物視覺的新近研究成果的基礎上，對運動生物視覺機制進行了神經動力學建模和計算機模擬的研究。Influence of chinese herb on catecholamine neurotransmitters in different brain region in rat after acute endurance exercise
活血安神中藥復方對急性耐力運動后大鼠不同腦區單胺類神經遞質的影響Although most of exhibition architecture and exhibition activity last a relatively short time, there are still tremendous international exhibitions in all around the world, and which lead to a huge amount of people to visit and strongly impact the cities where exhibitions have been held
盡管大多數展覽建築和活動是短暫的。每年都有大量的國際性展覽在世界各地舉行，吸引成千上萬的參觀者，強烈地激蕩著主辦城市的神經，成功的展會活動作為文化現象注入城市生活的血管，使之更加富有活力和色彩。Basing on the non - linear system ' s modeling method of nn, it develops the modeling research that utilizes the mutual makeup in elman dynamic nn and invigorative model
基於神經網路的非線性系統建模方法，開展了利用elman動態神經網路與機力模型互補的建模研究。On the basis of the study of the theory and appraise method on land use in the small towns from home and abroad, this paper at first conducts a deep study on the development and role of the small towns, indicating that its development has sawn an uneven development phrase and becomes a carrier of the enterprises, a pool of surplus laborers, a hub of material exchanges between the rural and urban areas, a base of spiritual civilization, an important way to achieve urbanization. second, it conducts a study on the situation and features and the problems the land use, indicating that the efficiency of the land use is low, which has a direct influence on the development of agriculture and the role of the small towns. and the study of the demand of the land indicates the shortage of land is serious, and the small town must rationally use the land and increases its intensive role and the economical efficiency to meet the demand
在分析國內外已有關于小城鎮土地利用的理論與評價方法的基礎上，首先對小城鎮在我國的發展、地位和作用進行了深入的分析，判明我國小城鎮發展經歷了一個曲折向上的發展階段，已成為鄉鎮企業的載體，農村剩餘勞動力的蓄水池，城鄉物資交流的樞紐，農村精神文明的基地，是我國城市化的重要途徑；其次，對小城鎮土地資源利用現狀和特徵進行了探討，並對發展小城鎮建設導致的土地利用問題進行了剖析，表明目前我國大多數小城鎮土地效益和規模效益低下，佔用耕地過多，直接影響農業的發展，影響小城鎮的地位和作用；通過小城鎮土地供需分析研究表明，我國土地短缺十分嚴峻，小城鎮土地需求缺口較大，小城鎮必須合理利用現有土地，增強集約功能和土地經濟效益，從而緩解需求壓力；最後，論文通過運用特爾菲法，描述統計分析法、多元統計分析（主成分分析）法和系統分析法中的層次分析法（ ahp ）等一系列方法，結合定性和定量兩方面，從土地質量、土地資源數量與結構、土地經濟效益、環境效益、社會效益等五個方面進行分析，篩選、建立了土地資源利用評價指標體系，在因子評價的基礎上，建立了土地利用綜合評價模型，並給出了評價過程和方法。( 4 ) the intelligent inspect system for roof latticed truss structure in shenzhen citizen center is selected as a practice background, and the intelligent inspect method to the steel bracket of roof truss is researched in present paper, in which includes several tasks as follows : automatic load identification for bracket based on neural network method, prompt calculation for the stress of key points on bracket, and its service status evaluation and stress alarm
（ 4 ）以深圳市市民中心屋頂網架結構的智能監測系統為實際應用背景，詳細介紹了網架結構支撐鋼牛腿的智能化監測方法。其中包括，基於神經網路的牛腿瞬時荷載的自動識別、牛腿關鍵點應力的快速正向計算、以及關鍵點工作狀態的評估與報警。The first part expounds the marxism founders " theory on the spiritual force of social development
第一部分，論述分析馬克思主義經典作家關于社會發展精神動力的學說。Radbas function neural network method makes use of self - learning function of neural network and automatic adjusted tentatively value, so self - adapted capacity of the algorithms was strength
徑向基函數神經網路法利用了神經網路的自學習功能，自動調整網路權值，所以其演算法自適應能力很強。Based on the aerodynamics, control, structural dynamics model of smart rotor in frequency domain deduced and the determination for the number of neurons in hidden layer, the neuro - emulator using multiple independent miso neural networks with its deduced matrix expression for the smart rotor is set up. the rate of training is improved by introducing the orthogonal selection applying for smart rotor to the selection of training cases in neural modeling
試驗結果驗證了該方法的可行性，在建立了帶有主動控制后緣附翼的智能旋翼系統氣動-控制-結構動力學數學模型的基礎上，提出了適用於智能旋翼建模的多神經網路並聯型式的頻域模型，並推導出其矩陣表達式，探討了隱含層神經元數的確定方法。On the basis of kineto - elastodynamics ( ked ), modern control theory and neural networks ( nn ), this dissertation studies, in a systematic way, the theory and the methods of the nn based active vibration control of flexible linkage mechanisms whose flexible links are incorporated with piezoceramic actuators and strain gauge sensors
本文首次將機構運動彈性動力學、現代控制論及神經網路理論相結合，以具有壓電陶瓷作動器與電阻應變計傳感器的平面彈性連桿機構為研究對象，系統地開展了基於神經網路的彈性連桿機構振動主動控制的理論、方法與實驗研究。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。Influence of chinese herbal preparations on monoamine neurotransmitters and its metabolites in different brain region in rat after single bout of prolonged exercise
中藥對急性耐力運動大鼠腦內兒茶酚胺類神經遞質的影響Based on the further study of dynamic characteristic of the tractor - implement combination, according to the integrated control model, which including the flowing three parameters : the engine load rate, drive wheel slip and work resistance, and the three control strategies, which are : highest production efficiency control strategy, oil consume economic control strategy and give attention to the above control strategy, we can adopt different control strategies according to different purpose of the task. applying the theory of the hybrid dynamic system to this case, the three control strategies can be abstracted to three discrete matters, and then the exchange model of the discrete matters of the top layer ( which called manage layer ) of the tractor - implement combination and the function decision model, which based on the nerve network, can be established. through this way, the best ad aptive controlling of the tractor came true
本文研究了拖拉機機組的綜合控制問題及其最佳匹配方法，在深入研究機組動態特性的基礎上，根據發動機負荷率、驅動輪滑轉率和作業阻力三參數的綜合綜合控制模型以及三種綜合控制策略（最高生產效率的控制策略、燃油經濟性的控制策略和兼顧最高生產效率及燃油經濟性的控制策略） ，針對不同的作業目的，採用不同的控制策略，應用混雜動態系統理論，把三種控制策略抽象為三種離散事件，建立了拖拉機機組上層（管理層）離散事件切換模型，並建立了基於神經網路的功能決策層模型，從而實現了拖拉機機組的整機最優控制。It is very difficult to use accurate mathematical model to describe the variation of quality characteristics during manufacturing process because of the complexity, non - linearity and time - variability of manufacturing system, so it is necessary to develop an intelligent quality control approach which can predict the quality characteristics without accurate mathematical model tracking in the change during manufacturing process
研究了智能控制和預測控制的基本理論，在此基礎上提出了智能預測控制理論的概念，建立了基於神經網路的智能預測控制模型。模型的基本特點為：多步預測、滾動優化和反饋校正，並具有學習、記憶和推理的能力。It is well known that ann is a kind of information processing system, utilizing physical realizable equipment to simulate the structure and function of a neuron
眾所周知， an 』 n是一種信息處理系統。它採用物理可實現的器件來模擬人腦神經網路的結構和功能，它是一種大規模并行的非線性動力學系統。It also provides a novel explanation of the signal processing mechanism of the neural system in the aspect of nonlinear dynamics
同時k網路也從非線性神經動力學的角度，解釋了整個神經系統的信息處理機制。This paper proposes a novel tracking control approach for nonholonomic mobile robots by integrating the neural dynamics model into the backstepping technique, and an adaptive parameter model is utilized to implement robust tracking
摘要提出了一種針對非完整移動機器人軌跡跟蹤控制的新方法；該方法將神經動力學生物激勵模型集成到後退控制方法中，同時採用自適應參數模型來實現具有魯棒性的跟蹤控制。Secondly, the following two subjects are discussed according to the calculation of short - circuit current : ( l ) to verify the dynamic stability condition of wires by using simulated annealing algorithm ( sa ), the paper calculates the maximum value of rectangle wires " short - circuit electrodynamic stress and gets the conditions of their having the maximum value. furthermore, some concerned data about the verifying of copper wires are given by analysing vibration spectrum of the electrodynamic stress ; ( 2 ) in order to get the heat withstand conditions of wires, the paper discusses some common calculation methods, and then tries to study the problem applying artificial neural network ( ann ) based on heat principle of metals. the model is shown to be feasible
其次，在電路中短路電流計算的基礎上， （ 1 ）進行母線的短路動穩定校驗計算：採用模擬退火演算法（ sa演算法）計算了矩形母線短路電動力的最大值及其取極值的條件，獲得了更為一般的結果，進而通過短路電動力的頻譜分析，給出了銅質母線的有關短路校驗計算數據； （ 2 ）進行母線的短路熱穩定校驗計算：討論了熱穩定校校的幾種常用計算方法，從導體或電器的發熱機理出發，運用人工神經網路理論對母線的熱穩定問題進行計算，通過算例比較，證明該方法用於熱穩定計算是可行的。分享友人