神經適應 的英文怎麼說

中文拼音 [shénjīngshìyīng]
神經適應 英文
nerve accommodation
  • 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
  • 適 : 形容詞1 （適合） fit; suitable; proper 2 （恰好） right; opportune 3 （舒服） comfortable; well Ⅱ...
  • 應 : 應動詞1 （回答） answer; respond to; echo 2 （滿足要求） comply with; grant 3 （順應; 適應） suit...
  • 神經 : nerve; nervus
  • 適應 : suit; adapt; get with it; fit
  1. The sooner a person receives an implant after becoming deaf, the more likely he will adapt to the new sound input ; people who have been deaf for years do not respond as well because of degeneration in the cochlea or auditory nerve

    失聰后越早植入人工電子耳的人，越可能適應新聲音的輸入；失聰多年的人，由於耳蝸或聽神經的退化，對聲音的反應就沒那麼靈光。
  2. In algorithms, classification algorithms are divided into two cases : one for known statistical distribution model and the other for unknown statistical distribution model. four classification algorithms, the bata - prime statistic model fusing quadratic gamma classifier, based on sar image rcs reconstruction and space position mode, on the mixed double hint layers rbfn ( mdhrbfn ) model and on the self - adapt fuzzy rbfn ( afrbfn ) model, are derived. the problems, including how to further improving the class ratio of the bayes decision, decreasing the dependence on the statistical model and directly providing the adapted algorithm with samples, are solved

    提出了基於徑向基函數神經網路（ rbfn ）的雙隱層混合網路（ mdhrbfn ）模型，解決了標準神經網路在具體sar圖像地物分類中分類類別數目不夠和分類精度差的問題；提出了基於模糊推理系統的自適應模糊rbfn分類（ afrbfn ）模型，兼顧通用性與精確性，增強人機交互能力，進一步提高了演算法分類率。
  3. Neural network - based adaptive nulling with multiple - beam antennas

    基於神經網路的多波束天線自適應調零
  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. Sep is a kind of bioelectric reaction which is characterized by time - locked and special response. the response can be reorded at the any part of special somatosensory system including from derma - tomes to peripheral nerve, spinal posterior root, et al, when stimulated in a proper style

    體感誘發電位是對軀體感覺系統的任意一點包括從皮膚節段到外周神經干、脊髓神經后根等，給予適當形式刺激后，在該系統特定通路上的任何部位均可檢出與刺激有相對固定的時間間隔和特定形式的生物電反應。
  6. Can adjust again all sorts of functions inside body ( communicate through efferent nerve adjust instruction ), with sponsorial body complete and unified reach its to the environment suit

    又能調節體內各種功能（通過傳出神經傳達調節指令） ，以保證人體的完整統一及其對環境的適應。
  7. The experimental results show that the system constructed by this method has the virtues of robustness, flexibility, explicable ability and self - study capability, since the new method has got both the merits of expert system and of neural network

    實驗結果表明，混合型專家系統既具有專家系統靈活性、解釋性的特點，又具有神經網路魯棒性、自學習能力的特點，因此非常適合用於企業信用評價，具有廣泛的應用前景。
  8. It is generally impossible to obtain the analytic optimal guidance law for complex nonlinear guidance systems of homing missiles, and the open loop optimal guidance law is often obtained by numerical methods, which can not be used directly in practice. the neural networks are trained off - line using the optimal trajectory of the missile produced by the numerical open loop optimal guidance law, and then, the converged neural networks are used on - line as the feedback optimal guidance law in real - time. the research shows that different selections of the neural networks inputs, such as the system state variables or the rate of los ( line of sight ), may have great effect on the performances of the guidance systems for homing missiles. the robustness for several guidance laws is investigated by simulations, and the modular neural networks architectures are used to increase the approximating and generalizing abilities in the large state space. some useful conclusions are obtained by simulation results

    對于復雜的非線性導彈制導系統，很難求得其解析的最優制導律，只能求得開環的數字解，不能適用於具有時變不確定性的導彈制導系統.利用神經網路的學習和推廣能力，對開環的數字最優制導律進行離線的學習，作為閉環的神經最優制導律在線應用.研究分別選擇系統狀態變量和視線角速率等不同的神經網路輸入對制導系統性能的影響，以及各種制導律的魯棒性問題，並採用模塊化神經網路結構提高神經網路的學習和推廣能力，模擬結果得到一些有益的結論
  9. The urban traffic trunk is regarded as a large system, and the subsystems are the intersections in the trunk. then we desipi a two - level coordinated fuzzy control method and use ann to implement the fuzzification, fuzzy inference and defuzzification. the arithmetic homs the strongly self - adapt, self - learning and fault - tolerant function

    3 ）把城市交通干線作為一個大系統，子系統為干線上的各個交叉口，在此基礎上，設計了一種城市交通干線的兩級模糊協調控制演算法，並用bp神經網路實現控制器的模糊化、模糊推理和清晰化三個部分，系統具有較強的自適應、自學習和容錯性。
  10. In addition, human body is in afternoon 4 : 00 to 7 : 00 between the active of the hormone inside body also is in kilter, the body gets used to ability and nerval sensitivity best also

    此外，人體在下午4 ： 00到7 ： 00之間體內激素的活性也處于良好狀態，身體適應能力和神經的敏感性也最好。
  11. Considering the characters of bp neural network, such as the simple structure, the advisable malleability, self - fitness, self - studying, nonlinear function approximating, the considerable abilities of parallel computing, fault - tolerant and so on, the bp algorithm have been extensively applied to the areas of system modeling, pattern recognition and seismic exploration since 1986. compared with other algorithms, as the above reasons, the bp algorithm has become the most usual and efficient solutions to the artificial neural networks

    由於人工神經網路中的bp神經網路結構簡單，可塑性強，具有良好的自適應、自學習、極強的非線性逼近、大規模并行處理和容錯能力等特點，自1986年rumelhart等人提出以來，被廣泛應用於系統建模、模式識別、地震勘探等重要領域。而bp演算法數學意義明確，步驟分明，是神經網路中最為常用、最有效、最活躍的一種方法。
  12. Furthermore, due to the symmetry restriction of traditional radial basis function networks ( rbfn ) with gaussian function, the asymmetric gaussian basis function ( agbf ) is proposed to construct the full adaptive agbfn. because the asymmetry gaussian function ' s variability and malleability are higher than the traditional one, the asymmetry gaussian basis function can provide the agbfn which own a higher flexibility and can approach the true result more easily

    針對這一問題，文中提出了一種全自適應的不對稱高斯基函數網路（ agbfn ）結構，網路的基函數採用具有不對稱寬度的偽高斯函數，和常規的高斯函數相比，具有更大的可變性和延展性，從而使得隱層神經元在函數近似上具有更高的適應性，提高了神經網路的學習能力。
  13. Avian encephalomyelitis virus ( aev ) is a picornavirus with a predilection for the central nervous system and other parenchymous organs of chickens that is transmited by the oral - faecal route. the virus may be spread by the vertical and horizontalroutes, and because of its great stability, contaminated areas may remain infectious for long periods. the egg - adapted van roekel strain is highly neurotropic and does not grow efficiently in the enteric tract of the chicken, and the field isolates of aev is usually enterotropic. despite this. the virion polypeptides of both naturally - occurring strains and the van roekel strain are antigenically identical

    侵害雞的中樞神經系統和其它實質性器官，該病毒通過口-糞途徑傳播，具有水平和垂直傳播的能力。由於它極大的穩定性，被污染的區域可能長期保持傳染性。雞胚適應株vanroekel是高度嗜神經的，並且在雞的腸道內不能有效的生長，而野毒株卻是嗜腸道型的。
  14. The ratio of cell body region was highest in mollusc, cellana toreuma 26. 18 %, neverita didyma 28. 13 %, mactra chinensis 27. 53 %. this may be the express in nervous system of mollusc with passive defense strategy, low motor ability and lack of developed sense organ, in environmental adaptation. the ratio of cell body region was lowest in crustacean, squilla oratorio 11. 43 %, gaetice depressus 15. 53 %

    結果發現，軟體動物神經元占神經節體積的比例最高（嫁（蟲戚） 、扁玉螺、中國蛤蜊分別為26 . 18 ， 28 . 13 ， 27 . 53 ） ，而且其比例要大於其他無脊椎動物，這可能正是軟體動物在適應環境過程中的被動防禦策略導致運動能力低下、特殊感官欠發達的身體結構模式在神經系統結構上的一種表現。
  15. Studies on neural differentiation is of great importance in clinic : if we can develop a good protocol, induced mscs may be useful in the treatment of a wide variety of neurological diseases. such as paraplegia, parkinson ' s disease, and strokes et al

    Mscs的神經分化是非常有意義的：如果我們能找到合適的分化方法和誘導劑，我們就可以應用分化后的細胞來治療多種神經疾病，如截癱、中風，帕金森氏癥等。
  16. Procreant knowledge expression and forward inference engine are adopted in the method of fault diagnosis based on expert system theory. in the fault diagnosis applying neural network theory, six kinds of improved arithmetic of back - propagation arithmetic, including gradient descent with momentum, variable learning rate back - propagation, resilient back - propagation, quasi - newton, levenberg - marquardt and conjugate gradient, are applied to diagnose the faults of electric load manage center and solid state power controller. different diagnostic results gotten by simulation are compared at last

    在基於專家系統的故障診斷方法中，採用了產生式知識表達和正向推理機制；在基於神經網路的故障診斷方法中，則分別採用了bp神經網路的附加動量法、自適應學習速率、彈性bp演算法、擬牛頓法、共軛梯度法和levenberg - marquardt法對電氣負載管理中心和固態功率控制器的故障進行診斷，並對由模擬得到的不同診斷結果進行比較。
  17. Short - term load forecasting based on subtractive clustering adaptive neuro - fuzzy inference system

    基於減法聚類的自適應模糊神經網路的短期負荷預測
  18. Evaluation of fabric wrinkle grade based on subtractive clustering adaptive network fuzzy inference systems

    基於減法聚類的自適應模糊神經網路評定織物起皺等級
  19. Through summarizing the experiences of the salesman and experts, and drawing lessons from the professional organizations such as banks which have established indexes system for credit rating, the thesis builds its own indexes system of credit rating for tally trade which is intentionally built up for enterprises ; then by contrasting the advantages and disadvantages of the commonly used multi - indexes evaluation methods, adopts the fuzzy hamming network as the primary tool for credit rating

    首先通過總結銷售人員經驗，並借鑒銀行等專業機構資信評級所採用的評價指標，建立適合工商企業應用的客戶信用評級指標體系；然後對比常用多指標綜合評價方法的優缺點和適用范圍，確定採用神經網路模型中的模糊hamming網路作為客戶信用評級的主要工具。
  20. The optimization algorithms in conventional calibration field have the shortcoming that the computing quantity is huge. in order to improve it, a single adaptive neuron algorithm was developed in conventional camera calibration in this dissertation, and a calibration algorithm considering radial and tangent distortion based on single adaptive neuron is proposed

    傳統的標定演算法中各種優化演算法存在著計算量大的不足，本文將單個自適應神經元應用到攝像機傳統標定中，提出了一種考慮徑向畸變和切向畸變的攝像機標定演算法，它與其他優化演算法相比具有簡單實用、計算量小的優點。
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