閾值邏輯單元 的英文怎麼說
中文拼音 [yùzhíluódānyuán]
閾值邏輯單元
英文
tle threshold logic element-
Proceeding from the mission of reducing neuron numbers in neural networks ( nns ) and enhancing the information processing abilities of single neuron, as well focusing on the digital logic implementation by multi - thresholded neurons ( mtns ), this dissertation makes it possible that digital logic can be implemented by a small number of neurons and the nns realized digital logic may have high information density
論文從減少神經網路中神經元個數及提高單個神經元信息處理能力兩個角度出發，以數字邏輯的多閾值神經網路實現作為研究內容，提出用較少的神經元實現數字邏輯，並且使實現的數字邏輯具有較高信息密度的可能性。Begin with analysis of binary logic implementation by single - thresholded neuron ( stn ), we drew a conclusion that digital logic implementation by neuron is actually a classification problem in multi - dimension space. meanwhile, we pointed out the demerits of soluting such problem by stn. then, the mtn and its transfer function was discussed particularly
首先從二值數字邏輯的單閾值神經元實現的分析入手，通過對一個例子的分析，得出用神經元實現數字邏輯實為一個在多維空間中分類問題的結論，同時指出單閾值神經元在解決這一問題時存在的缺陷。Hence, the advantage of mtn over stn was shown with the facts that the nns need fewer neurons by using mtns than by using stns. in addition, the literal, and, or operation as three basic operations in ternary logic were separately implemented by single mtn. with these basic mtns, arbitrary ternary function can be achieved by nns
利用這一方法，用一個多閾值神經元即實現了需三個單閾值神經元方能實現的異或運算，由此大幅減少了神經元個數；用一個多閾值神經元分別實現了三值邏輯中的文字、與、或三種基本運算，由這三種基本運算的多閾值神經元，可組成實現任意三值函數的多閾值神經元網路，由於提高了單個神經元信息處理的能力，使神經網路可實現復雜的多值邏輯，性能得以提高。
分享友人