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neural computation in Chinese

Pronunciation:
How to pronounce "neural computation""neural computation" in a sentence

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  • 神經(jīng)計算神經(jīng)系統(tǒng)處理信息的一種基本算法, 即并行分布處理。

Examples

  • The circuit realization of neural computation of finite element was presented
    給出了有限元的神經(jīng)網(wǎng)絡(luò)計算的電路實現(xiàn)。
  • Girosi , f . " an equivalence between sparse approximation and support vector machines . " neural computation 10 ( 1998 ) : 1455 - 1480
    文章中討論支持向量機與基礎(chǔ)追蹤去雜訊法之間的關(guān)系。
  • Recommended : ? hertz , j . , a . krogh , and r . g . palmer . ? introduction to the theory of neural computation . addison - wesley , 1991
    計算神經(jīng)科學(xué)和神經(jīng)網(wǎng)路的定義,古典神經(jīng)網(wǎng)路方程式,整合與啟動神經(jīng)元及平均法下的簡化。
  • Girosi , f . , m . jones , and t . poggio . " regularization theory and neural network architectures . " ? neural computation 7 ( 1995 ) : 219 - 269
    關(guān)于學(xué)習(xí)理論和正則化理論相互關(guān)系的一個詳盡介紹。在本講和接下來的講座中,我們會經(jīng)常提到這篇文章。
  • With the corrected parameter files , the results indicate that the isotopic abundance in the sample can be determined within 2 % error using a hpge detector system . artificial neural networks ( ann ) are a class of models based on neural computation and have been applied to the measurement of uranium enrichment . the principles of ann methods used in uranium measurement are presented in this paper and the conditions of analysis proceedings are described
    在核保障核查測量中和實物監(jiān)測中,測量對象往往是規(guī)格確定并種類有限的元件或部件,只需要關(guān)心測量對象的屬性是否發(fā)生了變化,或者對同一種類的放射性樣品的一致性做出判斷,這種要求下使用神經(jīng)網(wǎng)絡(luò)方法是比較適宜的,并且神經(jīng)網(wǎng)絡(luò)方法是與探測器和探測效率無關(guān)的。
  • Point to the limitation of existing method , the neural computation method of finite element of elasticity - plastic mechanics was studied on the base of variational principle of the second order minimal potential energy in plastic theory . the neural network solving method of elasticity - plastic mechanics based on variational principle of the second order minimal potential energy was presented , and the neural network computation model of finite element of plastic mechanics was given
    針對已有方法的局限性,以塑性理論中的二階段最小勢能變分原理為基礎(chǔ),對彈塑性力學(xué)問題的神經(jīng)網(wǎng)絡(luò)有限元計算方法進行了研究,提出了基于二階段最小勢能變分原理的彈塑性力學(xué)問題的神經(jīng)網(wǎng)絡(luò)求解方法,建立了塑性力學(xué)問題的有限元神經(jīng)網(wǎng)絡(luò)計算模型。
  • Evolutionary computation , neural computation and dna molecular biology technique are respectively corresponding to three different levels which are organism , nerve cell and molecular in the process of simulating brainpower . so we can see that the last method that base on simulating and studying on dna of biology is more probably to show up the essence of formation of brainpower
    從遺傳進化、人工神經(jīng)網(wǎng)絡(luò)和dna分子生物技術(shù)對智能的模擬過程看,它們分別對應(yīng)生物群體、生物神經(jīng)元和生物分子三個截然不同的層次,由此可以看到,基于對分子生物dna的模擬和研究將有可能更深刻地揭示智能形成的本質(zhì)。
  • Point to above problems , under the financial support of the national natural science foundation ( exploration of high tech and new concept and new conceive ) , the excellent young teachers program of ministry of education and national excellent doctoral dissertation special foundation , the static and dynamic real - time computation of elasticity - plastic mechanics , solving method of fuzzy finite element and other problems were studied in this paper . and some achievement was gained as following : ( 1 ) based on the positive definiteness of system stiffness matrix of finite element that was modified and the form of potential energy function of elastic body , the linear system of saturation mode ( lssm ) was introduced into the neural computation of finite element , by which the no - error solving of finite element neural net computation was realized in theory
    針對上述問題,在國家自然科學(xué)基金(高技術(shù)新概念新構(gòu)思探索) 、教育部優(yōu)秀青年教師資助計劃、高等學(xué)校全國100篇優(yōu)秀博士學(xué)位論文作者專項基金等的資助下,本文對彈塑性力學(xué)問題的動靜態(tài)的實時計算、模糊有限元的求解方法等問題進行了系統(tǒng)和深入的研究,取得了以下成果: ( 1 )根據(jù)有限元總剛矩陣經(jīng)修正后具有正定性的特點以及彈性體勢能函數(shù)的具體形式,將飽和模式的線性系統(tǒng)(簡稱為lssm系統(tǒng))引入到有限元的神經(jīng)網(wǎng)絡(luò)計算中,在理論上實現(xiàn)了有限元神經(jīng)網(wǎng)絡(luò)計算的無誤差求解。
  • 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(yīng)用需要神經(jīng)網(wǎng)絡(luò)的支持,我們著手開發(fā)一個神經(jīng)計算平臺,該平臺實現(xiàn)多種神經(jīng)網(wǎng)絡(luò)模型,例如bp模型、 hopfield模型、 boltzmann機模型、 art模型、 bam模型、遺傳算法等等。
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