Now netal network is an effective tool of intelligent technlogy in solving coinputalionally hard problem 在處理組合問題上,神經(jīng)網(wǎng)絡(luò)是現(xiàn)有的、有效的智能技術(shù)之一。
In this thesis , reasning based medel and resolution principle are deeply studied , and using netal network partly driplement automated reasoning 本文在對(duì)命題邏輯系統(tǒng)的模型推理和歸結(jié)原理研究的基礎(chǔ)上,嘗試?yán)蒙窠?jīng)網(wǎng)絡(luò)部分實(shí)現(xiàn)自動(dòng)推理。
Ldneinallcs , wiectory pltw for obstacle avodance , and intelligen contidl systein of macrowhcro mpatd pe be on vahable - - truss are the forly and pe in this diwton . by tw the am dris netal netwoik ( w , the proper bo nd - th for wrgt ~ ators is ds . based on the cn ' n , the fotw poanon pioblem of m wtwt variabe geotw to rugd is tiaind by use of the tw function 變幾何桁架機(jī)構(gòu)有十分好的剛度重量比,理論上每個(gè)構(gòu)件都是二力桿,不傳遞彎矩和扭矩,并可設(shè)計(jì)為可折疊的機(jī)構(gòu),變幾何桁架機(jī)器人機(jī)構(gòu)比串聯(lián)型機(jī)器人機(jī)構(gòu)有更好的剛度,這些特性使得變幾何桁架機(jī)構(gòu)具有廣闊的應(yīng)用前景。