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)絡是現(xiàn)有的、有效的智能技術之一。
In this thesis , reasning based medel and resolution principle are deeply studied , and using netal network partly driplement automated reasoning 本文在對命題邏輯系統(tǒng)的模型推理和歸結原理研究的基礎上,嘗試利用神經(jīng)網(wǎng)絡部分實現(xiàn)自動推理。
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 變幾何桁架機構有十分好的剛度重量比,理論上每個構件都是二力桿,不傳遞彎矩和扭矩,并可設計為可折疊的機構,變幾何桁架機器人機構比串聯(lián)型機器人機構有更好的剛度,這些特性使得變幾何桁架機構具有廣闊的應用前景。