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Quantitative Comparison between Artificial Neural Networks and Bilinear Interpolation to Predict a Real Robot's Sonar Sensor Readings

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Quantitative Comparison between Artificial Neural Networks and Bilinear Interpolation to Predict a Real Robot's Sonar Sensor Readings
期刊論文
刊名明道學術論壇
卷期7:1
篇名Quantitative Comparison between Artificial Neural Networks and Bilinear Interpolation to Predict a Real Robot's Sonar Sensor Readings
其他題名並列題名;類神經法與雙線性內外插法預測機器人聲納感應值之誤差量化比較研究
起訖頁25-42
作者李天明吳家豪
出版/發行者明道大學
出版年月2011/03
出版地彰化縣
出版國別臺灣
語文英文
ISSN1817-6682
關鍵字詞類神經網路多層感知器機器人電腦模擬內外插法Artificial Neural Networks (ANNs)Multilayer Perceptron (MLP)RobotSimulationInterpolation
章節標目Abstract(頁25-26);I . Introduction(頁27-28);II . Experimental setup(頁28-33);III. Sonar model approximation(頁33-35);IV. Experimental results(頁36-39);V. Conclusions(頁39-41);VI . References(頁41-42)
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