The directly modifying method and the compensating method . finally , we make use of the matrix principium optimized distribute the tolerance of the dh parameters . in the end , we analysed the scara assembly robot which we designed by programming emulator with the kinematics equation and the above theory , which including several step . first step is analysing and comparing the markedness of every parameter error , which affects the robot precision 結(jié)合scara平面關(guān)節(jié)式裝配機器人設(shè)計,編寫了scara平面關(guān)節(jié)式裝配機器人精度系統(tǒng)分析程序,全面分析了scara平面關(guān)節(jié)式裝配機器人末端位姿精度:研究了對機器人末端位姿誤差影響最大的誤差因素,總結(jié)出機器人誤差分配原則,作出機器人末端位置誤差在工作空間分布規(guī)律圖,提出根據(jù)機器人末端位置誤差分布規(guī)律圖選擇機器人裝配作業(yè)點。
On the basis of evolutionary neural network , the recognition model of promoter in eukaryote ' s gene was built using bp algorithms and genetic algorithms . ( 2 ) the designed recognition model is used to program emulator , and trained the model with download data from epd ( eukaryote promoter database ) , then predict unknown data for model , the result indicate the building of recognition model is relatively successful ( 2 )對設(shè)計好的識別模型進行了計算機仿真程序設(shè)計,利用從epd (真核生物啟動子數(shù)據(jù)庫)下載的數(shù)據(jù)對建立好的識別模型進行了訓(xùn)練,然后用對于模型未知的數(shù)據(jù)對模型進行了預(yù)測,結(jié)果表明識別模型的建立是比較成功的。