neural circuit 中文意思是什麼
neural circuit
解釋
神經迴路-
This paper presents a approach of module level fault diagnosis for large - scale tolerance analog circuit based on the neural network and the crossover tearing technology according to conventional circuit decomposition technology in large - scale circuits
本文在傳統的大規模電路的撕裂演算法的基礎上，提出了基於神經網路和交叉撕裂法的大規模容差模擬電路診斷方法。 -
Through the simulation of large - scale circuit simulation proved that use the crossover tearing technology could detailed network structure, simplify the diagnostic process, and the neural network can parallel deal with the diagnosis information, and the logic operation can judge the information of the multi - fault. the illustrative simulation shows that it can increase the diagnosis speed and decrease the workload before test
通過對大規模模擬電路的模擬證明，使用交叉撕裂明細網路結構，簡化診斷過程，且運用神經網路組對信息進行并行處理，邏輯分析運算對多故障信息進行處理判斷，大大提高了故障診斷速度，減小了測前工作量。 -
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。 -
Research of circuit fault diagnosis based on fuzzy neural network
基於模糊神經網路的板級電路故障診斷研究 -
Thirdly, the paper researchs the application of single electron transistor and the synthesis theory of cicuit based on quantum dot cellular automata by synthesis example of quantum cellular neural network based on build schr ? dinger equation of coupling quantum dot. at last, the paper researchs digital integrated circuit design based on quantum dot cellular automata and design a 8 - bit quantum dot cellular adder by qcadsign based on a method of majority logic reducetion for quantum cellular automata, it prove this designer of 8 - bit quantum dot cellular adder is correctly
Dinger ）方程為基礎的量子點細胞自動機電路綜合理論，本文以量子細胞神經網路為綜合實例，建立耦合量子點的薛定鄂（ schr ? dinger ）方程組，通過化簡得到類似細胞神經網路的非線性電路方程。最後研究了基於量子點細胞自動機數字集成電路設計，通過建立邏輯方程，簡化邏輯方程，並設計基於精簡qca擇多邏輯門8位加法器，並用qcadesign進行了模擬，實驗證明設計正確性。 -
Vacuum circuit breaker ' s condition simulation based on artificial neural network and electrical endurance quality criterion
基於人工神經網路和電壽命判據的真空斷路器模擬 -
Mortimer mishkin of the national institute of mental health has proposed different neural circuits for memory, including a higher - level corticolimbic circuit for what is generally referred to as semantic or cognitive memory, and a lower - level corticostriatal circuit for the more primitive habit memory that is most often referred to as procedural memory
美國國家精神衛生研究院的密許金，提出記憶具有不同神經通路的說法，包括較高層次的皮質邊緣通路，負責一般稱為語意或認知方面的記憶，以及較低層次的皮質紋狀體通路，負責比較原始、習慣性的記憶，也稱為程序記憶。 -
The fault diagnosis of the analog circuits is an advanced synthesis intercrossed subj ect, which is an application technology absorbing the new theory, technology and method in other subjects and fields. in the past 40 years, it has developed a great deal of theory and approaches. but the approaches are limited to deal with fault diagnosis because of the variety and complexity of the analog circuits, especially the large - scale analog circuits with the tolerance or the soft fault. artificial neural networks ( ann ) which have been one of the most active research areas recently can be contributed to solve problems in various practical fields. in this paper, analog circuit fault diagnosis approach based on pattern recognition, and ann is expatiated
模擬電路故障診斷是一門不斷發展中的綜合交叉性學科，是在不斷吸收其它學科和領域的新理論、新技術和新方法的基礎上向前發展的一門應用技術。雖然經過了四十多年的發展，也已經形成了一系列的診斷理論和方法，但由於模擬電路特別是有容差的大規模模擬電路故障的多樣性和復雜性，使得可用於診斷容差模擬電路的故障和大規模模擬電路軟故障的方法還十分有限。人工神經網路理論近年來取得了快速發展，已開始在各個研究領域廣泛應用。 -
To conquer the problem of acquisition high effectiveness in analog circuit fault imformation, wavelet transform was researched in this paper to preprocess the fault signals. meanwhile, bp neural network diagnosis method based on wavelet transformation was proposed, this method can abstract fault feature effectively and decreases the dimension of imput vector. by this mean, the construct of neural network can be simplified and training time was economized, then the recognize ability of fault type was improved also
為解決模擬電路的故障信息高效獲取難題，本文採用小波變換作為故障信號的預處理器，研究了基於小波變換預處理的bp網路故障診斷方法，該法能在有效提取故障特徵的同時，降低輸入信息的維數，從而進一步簡化了神經網路的結構，減少了其訓練時間，提高了辨識故障類別的能力。 -
A neural network model for a device / circuit can be developed by learning and abstracting from measured - simulated microwave data, through a process called training. once be trained, the neural network model can be used during microwave design to provide instant answers to any pre - assigned task
通過對射頻微波電路測量或模擬，可得到微波電路的輸入和輸出數據，利用該數據可以對神經網路進行訓練，而神經網路一旦訓練成功，就能夠瞬時地對在微波電路設計所學習的任務提供準確答案。 -
And the controller based on vhdl ( very high speed integration circuit hardware description language ) was designed under the fpga ( field programmable gates array ) integration environment with the values gained from the train of the neural network using matlab
氣動柔性手指神經網路控制器是在已經對氣動柔性手指進行運動學和動力學分析的前提下，使用matlab對神經網路進行試訓，依據訓練所得的權值和閾值，在現場可編程門陣列集成環境下，基於超高速集成電路硬體描述語言完成的。 -
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。 -
In order to solve the problems of high difficulty of neural network training and low accuracy of fault diagnosis under above circumstances, a fault re - classification method based on neural network fault diagnosis in analog circuit is proposed and the mathematics model of the method is given
針對在該情況下神經網路訓練困難與故障診斷正確率低的問題，提出了一種適于模擬電路的、基於神經網路故障診斷的故障重分類方法，給出了該方法的數學模型。 -
Individual behaviors share much of the same neural circuitry, and how the circuitry behaves ( and therefore the animal behaves ) is dependent on hormonal, motivational, circadian, sensory, etc. etc. etc. inputs the circuit receives
不同的個體的行為具有很多相同的神經迴路，並且迴路如何運轉（因此動物的行為）依賴激素、動機、晝夜規律、感覺等迴路接收到的輸入信號。 -
Further experiments showed that dopamine restructured a part of the vole ' s brain called the nucleus accumbens, a region that many animals have, including humans. the change was so drastic that when paired - up males were introduced to new females, although their brains still produced dopamine on sight, the chemical was channelled into a different neural circuit that made them go cold towards the new female
當已有配偶的雄鼠被介紹給新的雌鼠時，盡管此時雄鼠的腦中還在繼續分泌多巴胺，但多巴胺會被導入另一個完全不同的神經中樞系統，使得雄鼠對新的雌鼠毫無興趣。 -
The circuit realization of neural computation of finite element was presented
給出了有限元的神經網路計算的電路實現。 -
Based on this frequency domain model, after an mlp network training, the input - output characteristics of the device as well as the volterra series kernal function, which is hard to be determined by traditional approaches, is obtained with satisfactory accuracy. 3. a wavelet neural network training method is used for the optimization of a microwave circuit
3 ）把基於小波的神經網路訓練方法用於微波電路的優化，通過對由微帶線組成的低通濾波器參數的模擬和優化，表明了在得到較好優化結果的情況下，其優化時間大大降低。 -
On - line detecting inter - turn short circuit in stator winding of ac electrical machine based on fuzzy neural network
基於模糊神經網路的電機定子繞組匝間短路故障的在線診斷 -
A distinguishable faults test generation method for digital circuits is presented. the features of basic gate circuits and neural networks are used to establish the test model, and to generate the test patterns for given faults. the fault model and constrained circuit are studied. some strategies, e. g, the reduction of the size of neural network, are proposed in order to accelerate test generation process. the experimental results demonstrate that the algorithm proposed in the paper is effective
研究一種基於人工神經網路的能區分故障的數字電路測試生成方法，該方法利用電路基本邏輯門的特性和神經網路模型的特點，首先建立測試生成的神經網路模型，然後通過求解網路能量函數的最小值點獲得給定類型故障的測試矢量，其研究結果在可區分故障的測試生成方面提供了一種可能的新途徑 -
Fault diagnosis of short circuit in stator windings of generator based on chaotic neural network
基於混沌神經網路的發電機定子繞組匝間短路故障診斷
分享友人