We have referred to electric networks from time to time as prime examples of systems amenable to graph theory methods . 我們經(jīng)常地把電網(wǎng)絡(luò)當作服從圖論方法系統(tǒng)的最基本例子。
Other examples of systems where conservation is used to derive the model equations ( in nonlinear elasticity , fluids , etc 其他用守恒導(dǎo)出模型方程的系統(tǒng)(非線性彈簧,流體力學(xué)等等) 。
From the information structure of the network courseware , this paper analyzes the network courseware development system and gives an example of system realization 本文從網(wǎng)絡(luò)課件的信息結(jié)構(gòu)特點出發(fā),對該系統(tǒng)的實現(xiàn)作出了系統(tǒng)分析和實現(xiàn)原型。
This paper encircles the examples of system development to introduce the incremental arithmetic of educing knowledge . in inducement study , when new data added , this arithmetic can get knowledge about the new data only by modifying original knowledge and it is no need to make original knowledge again 文章圍繞系統(tǒng)開發(fā)中的實例介紹了導(dǎo)出規(guī)則的增量式算法,該算法使得在歸納學(xué)習(xí)中當有新的數(shù)據(jù)加入時而無需重新生成規(guī)則,只需要對原有的規(guī)則進行修正,就可以得到關(guān)于新數(shù)據(jù)集的規(guī)則。