Automated reasoning and equation solving with the characteristic set method 基于特征列方法的自動推理與方程求解
Alti1ough neuial network gets a satistw soluhon of prob1em , it is not deted to use ned ned solving problem of automated reasoning 盡管神經(jīng)網(wǎng)絡(luò)尋找到的解是一個滿意解,但這不影響我們考慮將神經(jīng)網(wǎng)絡(luò)技術(shù)應(yīng)用于自動推理理論與方法中。
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(jié)原理研究的基礎(chǔ)上,嘗試利用神經(jīng)網(wǎng)絡(luò)部分實現(xiàn)自動推理。
Engineers have yet to solve fundamental problems involving robotic perception and world modeling , automated reasoning , manipulation of objects and locomotion 工程師還有很多根本的問題尚未解決,包括機器人的知覺、如何建立周遭環(huán)境的模型、自動推理、物品操作和行進方式等。
It can be extended to fuzzy logic systems and some lattice - valued logic systems . 3 . the study on automated reasoning a new automated reasoning method based on path searching was proposed 2 、提出一種利用神經(jīng)邏輯單元動態(tài)地構(gòu)造神經(jīng)網(wǎng)絡(luò)的算法來對一些邏輯系統(tǒng)中的邏輯公式的真值進行計算。
Automated reasoning is an area of computer science and mathematical logic dedicated to understanding different aspects of reasoning. The study in automated reasoning helps produce software which allows computers to reason completely, or nearly completely, automatically.