神經信息學 的英文怎麼說

中文拼音 [shénjīngxìnxīxué]
神經信息學 英文
neuroinformatics
  • 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
  • 息 : Ⅰ名詞1 （呼吸時進出的氣） breath 2 （消息） news 3 （利錢; 利息） interest 4 [書面語] （子女） on...
  • 學 : Ⅰ動詞1 （學習） study; learn 2 （模仿） imitate; mimic Ⅱ名詞1 （學問） learning; knowledge 2 （學...
  • 神經 : nerve; nervus
  1. Not only the neurons but also the as in the rat brain play a very important role in the process of the peripheral nociceptive stimulation ; ? he newly - found eda may be the functional intercommunication ultrastructure between neurons and as, through which the as could modulate the neurons in the pain signal processing ; @ as might play an active and important role for modulation of pain through a new pathway from the peripheral afferent nerve to the as, then to neurons via electron - dense areas forming the glia - neuron s ignaling network

    光、電鏡水平發現as與神經元之間有多種途徑進行信息交流，新發現的eda有可能是神經元與as之間信息交流的結構之一。阻斷as與神經元間信息交流連接后，前者對外周組織4第四軍醫大學博士學位論文損傷所致疼痛的反應不受影響，而後者的反應明顯受到抑制，提示在非病理性疼痛反應中，膠質細胞對神經元具有主動調控作用。
  2. Secondly, the artificial neural networks and mixed evolutionary computation are employed into the mathematical simulation of complex geological structure, and with gis and visualization technique, the method of geological digital 3 - d modeling and visualization is presented. so, not only the functions of making geological section and querying spatial information could be achieved, but also the spatial distribution of geological structures and their complex relationship could be described visually. thereby an interactive and convenient way for engineering geological design could be actualized

    （ 2 ）提出了復雜地質構造數學模擬的神經網路方法與混合進化方法，並利用gis技術和可視化技術，深入研究了數字地質三維建模及其可視化方法，實現了地質三維任意剖切、信息空間查詢與管理等功能，從而為直觀描述地質構造的空間展布及其相互間的復雜空間關系，以及快捷、交互地進行工程地質設計提供了新的途徑與手段。
  3. Because color isochromatic fringes appear in the stress model based on a plane polariscope in white light, we studied the problems systematically by a digital camera as image inputting device, digital image processing technique and bp artificial neural network. based on the work that has been reported before, a technique named five - step color phase shifting technique ( fcpst ) to acquire single isoclinics is presented

    根據白光入射時應力模型在偏振儀光學系統中的等色線條紋是彩色的特點，本論文採用彩色數碼相機作為數據採集與輸入設備，結合彩色信息圖像處理和bp神經網路等新技術，對上述兩個難題進行了系統的研究，獲得以下成果：在綜合前人工作的基礎上，提出獲得全場單純的等傾角相圖的五步彩色相移法。
  4. Abstract : events contributing to the establishment of statistics the science of data and its chemical branch are epitomized. as the new chemical branch named chemometrics or chemstatistics has been disputed in the circles of chemistry for a long time, reasons for adopting chemstatistics are given, which is defined as the science of gathering or generating, describing, summarizing and interpreting the data concerned to acquire new chemical knowledge or information. the fact that many traditional statistical methods, such as significance tests, analysis of variance, regression and correlation, and some others not usually considered statistical, such as model building, monte carlo method, fourier transformation, artificial nerval networks and pattern recognition, each contains one or more of the five connotations of statistics is expounded. the regular pattern that a chemstatistician grows up is approached. the urgent task is to include chemstatistics in the undergraduate or graduate curriculum of chemistry specialty. the goal of the project is to nurture chemists who know statistics

    文摘:本文追溯了統計學發展、建立中的大事，陳述了它的定義及其化學分支發展、建立的梗概；鑒于化學界對該新興化學分支學科的名稱長期存在爭議，提出了以化學統計學而不以化學計量學為該學科名稱的理由，把化學統計學定義為一個研究有關數據的收集或產生、描述、分析、綜合和解釋，以獲得新化學知識或信息的學科；闡明了許多公認屬于統計學的方法，如顯著性檢驗、方差分析、回歸和相關，以及一些尚未認定屬于統計學的方法，如模型建立、蒙特卡羅方法、傅立葉變換和人工神經網路，都含有統計學5個內涵中的一個或多個；探討了化學統計學家成長的模式，認為當務之急是把化學統計學納入化學專業的教學計劃，以培養懂統計學的化學家。
  5. For cognitive neurophysiology, one major question of interest is how and where the brain information processing process takes place

    作為腦科學及認知科學分支之一的認知神經生理學，所關心的一個主要問題是，希望知道大腦內部的信息處理是在何處如何進行的。
  6. Since human ' s knowledge of real neural system is very limited, the improvement and development of artificial neural network need more detail information from neurophysiology and neuroanatomy

    由於人類對真實神經系統只了解非常有限一部分，人工神經網路的完善與發展有待于神經生理學、神經解剖學的研究給出更加詳細的信息和證據。
  7. Via this neural network, we can eliminate those regions which contain no plate and then use color information to modify the correct region and find the accurate position of car plate finally ; 3 ) in the progress of recognition, we apply the structural alternative covering algorithm and only use some basic techniques to process the image

    將構造性的覆蓋演算法應用於牌照的定位，在對這些區域進行分析后提取出各自的特徵並進行學習，構造出相應的神經網路，用來排除假的干擾區域，同時結合圖像的顏色信息來對前期的定位結果進行修正，最終得到正確的車牌位置： 3
  8. On the base of a systematical analysis about the theory of mathematical morphology and neural network, we present that the two methods have many complementary aspects : mathematical morphology has good filtering characteristic, but has not good adaptability and study ability from samples ; neural network has outstanding properties of self - organizing and self - adapting, but has not good filtering characteristic of mathematical morphology

    本文在分析了數學形態學理論和神經網路理論的基礎上，指出了兩者在信息處理中具有很強的互補性：數學形態學具有良好的濾波特性，但適應性差，不具備從圖像樣本中進行學習的能力；神經網路具有很強的自組織和自適應性，卻沒有數學形態學良好的濾波性能。
  9. In this thesis, aim to the beam axis shape be exactitude for design, the internal force of the beam be appeased by design request, the concept of modem cybernetics is applied, at the same time, the effecting parameter has collected. the paper build the ann model in predicting the beam camber an construction and discuss indetail the extraction of inputting nodes information when quoting the fundamental principle of ann model and introducing research process of the improved bnn. according to them, ann is applied in the construction control of prestressed concrete continuous bridge

    本文以大橋成橋線形滿足設計要求和成橋內力控制在設計容許范圍內為目的，運用現代控制理論的思想，引用神經網路基本原理，詳細介紹bp神經網路的研究過程，從而建立預應力混凝土連續梁橋施工預拱度的神經網路模型，並詳細討論了模型的神經網路結點信息的提取，在工程實例的基礎上進行了數值計武漢理工大學碩士學位論文算，數值表明，將神經網路應用於預應力混凝土連續梁橋施工控制，獲得了滿意的結果，在預應力混凝土連續梁橋施工控制技術研究方面，具有方便有效、精度高的優點，具有良好的應用前景。
  10. Intelligence science. tsinghua university press, 2006. 3 kirsh d. foundations of artificial intelligence : the big issues

    最近20多年來，視覺信息加工的機制是認知科學神經科學計算機科學等學科研究的重大課題之一。
  11. By the network, a optional nonlinear input - output mapping relationship can be realized. concrete mapping relationship materialize at the distributed linking weight values between neurons that build up the ann. due to the strong self - adaptability and self - learning - ability as well as excellent and robustness and tolerance ability, it can not only replace many traditional algorithm which is very complicated and timeconsuming, but also, because the processing to information is more close to person ' s thought activity habit, it provides a new way for solving the prediction of nonlinear system and unknown model

    通過這種網路能夠實現任意的非線性輸入輸出映射關系，具體的映射關系體現在構成網路的神經元之間的分佈連接權上，由於網路具有很強的自適應和學習能力以及魯棒性和容錯能力，它不僅可以替代許多復雜耗時的傳統演算法，並且由於它對信息的處理更加接近於人的思維活動習慣，為解決非線性系統模擬和未知模型的預測提供了新途徑。
  12. Based on the analysis and processing of the digital speckle pattern, the translation and rotation invariant features are discovered, and a one - step feed - forward neural network is creatively proposed which makes it possible to realize the intelligent recognition of interface defects

    通過對數學散斑條紋的分析與處理，找出了能代表條紋信息的移位不變與旋轉不變特徵值? ?最大斜率，進而構造一種新的網路模型，即單步前饋式三層網路系統.率先實現了把神經網路系統用在數字散斑無損檢測之中，完成了神經網路系統對粘接界面缺陷的智能辨識
  13. The reading research team consists of about 20 scientists, including a neural prosthesis specialist, a cybernetics expert from the united states - based rehabilitation robots laboratory, and teams developing intelligent networks and biomedical signal processing software

    雷丁研究小組大約有20名科學家，包括一個神經假肢專家，一個從復原機器人實驗室美國基地來的控制論專家，以及一些開發智能網路和生物信息處理軟體的小組。
  14. 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。
  15. 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。
  16. Human brain project and neuroinformatics

    人類腦計劃和神經信息學
  17. Aerodynamic coefficient identification is a interdisciplinary subject between mechanics, informatics and control theory. this thesis also gives an overview of the development direction in this field, especially introducing the application of neural network in the aerodynamic coefficients identification, which gives the theoretical basis of using wavelet network in modeling of aerodynamic coefficients

    氣動系數辨識為介於力學、信息學和控制論之間的一門交叉學科，本文對該領域的發展方向進行了分析，其中特別分析了神經網路在氣動力系數建模中的應用狀況，這為本文採用小波網路氣動系數建模打下理論基礎。
  18. In studying animal behavior and neurophysiology, this topic concentrates on hearing mechanisms, including the neural mechanism s of auditory precedence effect, the neural mechanism s of informational masking and energetic masking, the interaction between auditory cognitive processes and sensory gating processes, and the neurobiological mechanisms of auditory emotional learning

    本研究以動物行為和動物神經生理為對象，重點探討如下四個問題：聽覺優先效應的神經生物學機制；信息掩蔽和能量掩蔽的神經生物學機制；聽覺認知過程與感覺門控過程之間的交互作用；聽覺情緒學習的神經生物學機制。
  19. The illegal substance, popular with clubbers, is said to affect cells in the brain which produce the nerve message transmitter chemical serotonin - a hormone involved with learning and memory

    流行於俱樂部成員間的這種非法物質據說影響大腦細胞，該細胞能產生神經信息的化學遞質5 -羥色胺? ?一種參與學習和記憶的荷爾蒙。
  20. Traditional chinese medicine and human brain project

    中國傳統醫學與神經信息學
分享友人
分享到 Line

分享到臉書