neural computation中文是什么意思

發(fā)音:

中文翻譯
造句

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。

neural adj. 【解剖學(xué)】神經(jīng)(系統(tǒng))的；神經(jīng)中樞的；【解剖學(xué) ...
computation n. 1.計算，估算。 2.計算法。 3.計算結(jié)果，得數(shù) ...
neural adj. 【解剖學(xué)】神經(jīng)(系統(tǒng))的；神經(jīng)中樞的；【解剖學(xué)】背的，背側(cè)的。 adv. -ly
computation n. 1.計算，估算。 2.計算法。 3.計算結(jié)果，得數(shù)。
neural analyzer 神經(jīng)分析器
neural arch 【動物；動物學(xué)】髓弓。
neural assembly 神經(jīng)集合
neural atrophy 神經(jīng)病性肌萎縮; 神經(jīng)性萎縮
neural axis 軸索神經(jīng)軸
neural canal 【解剖學(xué)】神經(jīng)溝。
neural cell 神經(jīng)細胞
neural circuit 神經(jīng)回路
neural coding 神經(jīng)編碼
neural computatio 神經(jīng)計算神經(jīng)系統(tǒng)處理信息的一種基本算法
neural computing 神經(jīng)計算學(xué)
neural control 神經(jīng)控制
neural correlate 神經(jīng)相關(guān)物
neural crest 神脊; 神經(jīng)冠; 神經(jīng)脊; 神經(jīng)嵴
neural cyst 神經(jīng)系囊腫
neural discharge 神經(jīng)沖動發(fā)放
neural ectoderm 神經(jīng)外胚層
neural encoding 神經(jīng)編碼過程
neural engineering 神經(jīng)工程學(xué)
neural epithelium 感覺上皮; 神經(jīng)上皮
neural facilitation 神經(jīng)易化

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例句與用法

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。

百科解釋

Neural Computation is a peer-reviewed academic journal covering aspects of neural computation. Articles highlight problems and techniques in modeling the brain, and in the design and construction of neurally-inspired information processing systems.

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