神經計算 的英文怎麼說

中文拼音 [shénjīngjìsuàn]
神經計算 英文
neural computation
  • 神 : Ⅰ名詞1 （神靈） god; deity; divinity 2 （精神; 精力） spirit; mind 3 （神氣; 神情） expression; l...
  • 經 : 經動詞[紡織] （把紡好的紗或線梳整成經紗或經線） warp
  • 計 : Ⅰ動詞1 （計算） count; compute; calculate; number 2 （設想; 打算） plan; plot Ⅱ名詞1 （測量或計算...
  • 算 : Ⅰ動詞1 （計算數目） calculate; reckon; compute; figure 2 （計算進去） include; count 3 （謀劃;計...
  • 神經 : nerve; nervus
  • 計算 : 1 （求得未知數） count; compute; calculate; reckon; enumerate 2 （考慮; 籌劃） consideration; pla...
  1. The procedure functions in the compare between partial image of dynamic collection and corresponding image of the airscape. in chapter 5, basing on the analysis of correlative theory of digital image, we introduce the improved fasted - down algorithm and simulative anneal algorithm, which applies to nn calculation, an d bring forward the unique and effective means, correlative original value evaluation. basing on the combination of correlative arithmetic, a stable, high - speed and exact correlative arithmetic is formed, which makes it possible to apply computer vision detection of single - needle quilting in industrial production

    本文展開研究並取得一定成效：構建了基於pci總線的微機實時圖像採集系統；在採集的布料總圖（鳥瞰圖）的基礎上，通過數字圖像的數字濾波、圖像增強、邊緣檢測等處理，提取布料圖像的邊緣，對輪廓的矢量化的象素點進行搜索，得到相應的圖案矢量圖，從而確定絎縫的加工軌跡，生成加工指令；在進給加工過程中，主計算機對動態局部圖像與總圖（鳥瞰圖）的對應部分進行圖像相關的匹配計算，應用數字圖像理論，結合神經網路計算的改進最速下降法和模擬退火演算法，提出獨特而有效的相關迭代初始值賦值方法，形成穩定、高速和準確的相關運算，實現單針絎縫視覺測量和自動控制。
  2. In order to prove the feasibility of the control method mentioned, both the semiphysical test for the plant simulated by analogue computer and the model test for the cantilever beam are designed and finished with the study of the parameter selection in realization

    對離線建模的智能旋翼頻域神經控制方法進行了試驗驗證研究，試驗分兩種情況：以模擬計算機模擬受控對象的半物理模擬試驗與懸臂梁振動響應控制試驗，並研究了實現中的參數選擇問題。
  3. Based on this, through a lot of yeast, e - polylysine ferment experiments and analyzing the data, comprehend the universality rule of animalcule ferment ; advanced soft - measure model, estimate the parameter non - measurable online, including the parse model based main - regression analyze, the ann model based ann arithmetic. guide the fed - batch control and environment parameter by the optimized track. to advance the last gain, identify the fermentation phase

    在此基礎上，經多次酵母發酵實驗、聚賴氨酸發酵實驗及對大量實驗數據的分析，深入了解了微生物發酵的一般性規律；建立了微生物發酵過程的軟測量模型，對不可在線測量的生物參數進行估計，包括由主元回歸分析得到的解析式模型，由神經網路演算法得到的神經網路模型。
  4. 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。
  5. For most of its 100 - year history, neuroscience has embraced a central dogma : a mature adult ' s brain remains a stable, unchanging, computerlike machine with fixed memory and processing power

    神經科學100年的歷史當中，大多信奉著一個中心思想：成年人的腦子是個穩定、不變、如計算機般的機器，有著一成不變的記憶與資訊處理能力。
  6. A novel quantum neural computational model is constructed based on the universal quantum gates unit ( i. e. phase - shift gate and controlled not gate ), which acts as the basic computational component

    研究以通用量子邏輯門組（即相移門和受控非門）作為計算基函數，構造新的量子神經計算網路模型。
  7. The innovation of the thesis as follows : advances the generalized computing theory that combines symbolic computing with neural computing, fuzzy computing and evolutionary computing

    本文的價值在於：提出了融符號計算、神經計算、模糊計算和演化計算於一體的廣義計算理論。
  8. The simulation result shows that the quantum neuron network is superior to classical bp and rbf network for the financial data analysis example

    模擬結果顯示，就算例而言，該量子神經計算網路的性能優于傳統的神經網路。
  9. Finite element approach for structural dynamic analysis using generalized eigenvalue - based neurocomputing

    有限元結構動力分析的廣義特徵值的神經計算
  10. In the last chapter, a neural computing algorithm for bit rate control is designed

    在本文最後一章里，提出一種利用神經計算進行視頻輸出碼率控制的演算法。
  11. Exploration of the convergence of theoretical work and experimental data on neuronal computations that highlight the feedback requirement for the systematic operation of the nervous system

    集中探討了神經計算科學的理論工作和實驗數據，特別討論了神經系統進行系統性運作時反饋的必要性。
  12. The training of a particular neural network involves huge amount of data. to improve the speed of computation, we used the idea of grid computing to construct a distributed system

    但是因為神經計算處理的數據比較龐大，所以為了提高運算速度，我們引進了網格計算（ gridcomputing ）的結構思想，架構一個分散式系統。
  13. In the engineering application of ci, two methods of evolutionary computing and neural computing the fourier factors are proposed which redound to the application of fourier transformation to the engineering

    在計算智能的工程應用方面，本文提出了fourier系數的進化計算和神經計算兩種智能計算方法，為fourier變換的工程應用提供了方便。
  14. Our ann model runs on a neuron computing platform witch is based on grid technology, and it has powerful computing ability, also, it allows users to design their own ann prediction model conveniently to match their specified needs

    我們的模型應用在一個基於網格的神經計算平臺之上，它可以給用戶提供強大的計算能力，並能讓用戶按照他們的需求方便地定製他們自己的神經網路預測模型。
  15. The fuzzy system is constructed through the artificial neural learning algorithm. third, the fault diagnosis using neural networks is discussed in this paper, especially the internal backward neural network with deviation elements. its model and learning algorithm are showed in detail

    其中詳細討論了帶有偏差單元的遞歸神經網路的模型和學習演算法，在此基礎上合成了模糊神經網路系統，將模糊理論和神經計算原理相結合，使神經網路藉助其大規模的并行分佈處理結構完成模糊診斷的推理過程。
  16. The paper expatiated how to confirm and calculate these parameters such as durable years and discount rate of technical asset. there is n ' t external in profit calculation in tradition, back propagation training can avoid

    傳統預測收益有相當的主觀因素，而bp神經演算法在對歷史數據訓練的基礎上直接計算出預期收益，有摒棄主觀預測的優勢。
  17. Many models, such as back propagation ( bp ), hopfield, art, have been developed and sometimes several models have to be combined to accomplish a task. to relieve the burden of implementing those models from scratch, we developed a neural computation platform ( ncp ) containing those facilities

    正是因為越來越多的應用需要神經網路的支持，我們著手開發一個神經計算平臺，該平臺實現多種神經網路模型，例如bp模型、 hopfield模型、 boltzmann機模型、 art模型、 bam模型、遺傳演算法等等。
  18. The first chapter, we introduce the developement of the neural network and grid technology. the second chapter introduces the design and implement of the resource allocation system including the main moduls, mapping alorgithm and the activation of the program. the third chapter introduces how to use the mds

    文章分五個部分，第一部分介紹神經網路和網格技術的發展，提出設計神經計算平臺的意義；第二部分介紹了資源分配系統的設計和實現，包括主要模塊，映射演算法和如何激活特定任務；文章第三部分介紹了globus項目中的mds的使用；第四部分詳細描述classifiedadvertisement的數據結構。
  19. By the third decade of the 21st century, we will understand the construction and function of the mind in minute detail and be able to re - create these designs in suitably advanced neural computers

    到21世紀30年代，我們將能夠了解大腦中超細微細節部分的造和功能，也能夠在相當先進的神經計算機中再造這些設計。
  20. From the beginning of the middle of the 1980 " s, the investigation of neural networks has become popular again in us, japan and western europe, in some aspects, such as modules of neural networks, learning algorithm, realization and practice of neural computer, etc, many achievements were obtained. about 100 kinds of modules of networks were put forward

    從80年代中期開始，神經網路的研究在美國、日本、西歐等國家再度掀起熱潮，在神經網路模型、學習演算法、神經計算機實現和應用等方面，取得了令人鼓舞的眾多成果，出現了近百種網路模型，新的演算法及其改進演算法更是層出不窮，使計算機具有更多的智能。
分享友人
分享到 Line

分享到臉書