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TranslationMobile

并行邏輯

"parallel" in Chinese : adj. 1.平行的；并行的 (to; with); 【 ...
"logic" in Chinese : n. 1.邏輯，理論學。 2.推理[方法]；邏輯性，條理 ...
"parallel-parallel logic" in Chinese : 并并行邏輯; 并行-并行邏輯
"distributed parallel logic theory" in Chinese : 分布式并行邏輯理論; 分散式平行邏輯理論
"parallel logic circuit" in Chinese : 并行邏輯電路
"parallel logic word" in Chinese : 并行邏輯字
"parallel programming in logic" in Chinese : parlog語言; 并行邏輯程序設(shè)計語言
"-logic" in Chinese : -logic, -logical 〔構(gòu)成與 -logy 結(jié)尾的名詞相應(yīng)的形 ...
"and logic" in Chinese : “與”邏輯
"logic" in Chinese : n. 1.邏輯，理論學。 2.推理[方法]；邏輯性，條理性。 3. 威力，壓 ...
"logic-and" in Chinese : 邏輯“與”
"or logic" in Chinese : 或邏輯
"be parallel to" in Chinese : 和……平行，和……一樣; 平行于; 與...平行, 與...類似
"be parallel with" in Chinese : 與...同時, 隨著..., 與...比較, 與...相應(yīng), 與...并聯(lián)
"in parallel" in Chinese : 并聯(lián)的; 開聯(lián)

Examples

For its characteristic of parallel logic and dispersed state , ca can be realized easily in hardware
元胞自動機的并行邏輯特性以及離散狀態(tài)等特性,使其易于硬件實現(xiàn)。
To reduce the simulation time of large circuits , parallel logic simulation has attracted considerable interest in recent years
為減少大規(guī)模電路的模擬時間，近年來大家的興趣轉(zhuǎn)向了并行模擬。
Then , a linear - time partitioning algorithm based on a linear ordering of nodes in a circuit for parallel logic simulation is presented
然后，提出一種在對電路中節(jié)點進行線性排序的基礎(chǔ)上的線性時間劃分算法。
In this paper , we developed a self - assembly model for dna - based parallel addition . the central feature of this model is to apply the parallel logic . we make the complexity analysis of the algorithm used here
這里，提出了一種利用dna進行兩個數(shù)的相加的模型，這一模型的思想是對兩數(shù)逐位并行相加，極大地利用了dna計算并行的特點。
In this paper , we developed three dna - based models to realize basic functions of neural network . the idea , which is different from traditional techniques that are used to modify powers between neurons , is to pick out the appropriate powers combination from any possible combination . the central feature of these models is to apply the parallel logic
本文首先建立了幾個實現(xiàn)神經(jīng)網(wǎng)絡(luò)的基本功能的dna計算的自裝配模型，這些模型的主要思想不同于傳統(tǒng)的串行修改或計算神經(jīng)元之間的連接權(quán)值，而是從所有可能的權(quán)值組合中尋找到一組適合所有樣本對的理想輸入與理想輸出的對應(yīng)關(guān)系的權(quán)值組合，也就是并行的實現(xiàn)了神經(jīng)網(wǎng)絡(luò)的學習過程，充分地利用了dna計算極度并行的特點。