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Neural Network Training Techniques for Enhancing the Performance of a Distributive Tactile Sensor : Addestramento di reti neuronali per migliorare le prestazioni di un sensore tattile distribuito, in: International Journal of Advanced Robotic Systems
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Auteur Tongpadungrod, Pensiri
Publié  InTech Open Access Publisher, 2013
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Abstract This work describes neural network training
techniques for enhancing the performance of a onedimensional
beam for determining load positions. The
system was a distributive system which relied on the
detection of changes in the surface properties that can be
seen across the surface. The demonstrated distributive
system was 400 mm in length. The applied load positions
within the range 60 – 300 mm could be determined with
an average percentage error of 0.2% of the beam length
which corresponded to a position error of 0.8 mm using a
network trained with 10 training positions. It was found
that the errors were higher for the load applied near the
edges of the beam, leading to an average percentage error
of 3.6% for the whole length of the beam. The
normalization of the network output can be employed to
reduce the average percentage error by approximately 1%
for a given number of training positions. The
performance was improved by introducing more training
positions in the less sensitive area. The described training
technique not only reduced the prediction error but also
enlarged the areas where the prediction errors were
satisfactorily small. Using the described technique, the
overall prediction error could be decreased by 0.13 –
0.24% of the beam length for 30 – 10 training positions.
The area where the prediction errors were within 2 mm
was increased by 14.5 – 7.3% of the beam length for a
network trained with 4 training positions
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no fulltext found International Journal of Advanced Robotic Systems
Auteur: Ottaviano, Erika; Ceccarelli, Marco; Husty, Manfred; Yu, Sung-Hoon; Kim, Yong-Tae; Park, Chang-Woo; Hyun, Chang-Ho; Chen, Xiulong; Feng, Weiming; Sun, Xianyang; Gao, Qing; Grigorescu, Sorin M.; Pozna, Claudiu; Liu, Wanli; Zhankui, Wang; Guo, Meng; Fu, Guoyu; Zhang, Jin; Chen, Wenyuan; Peng, Fengchao; Yang, Pei; Chen, Chunlin; Ding, Rui; Yu, Junzhi; Yang, Qinghai; Tan, Min; Polden, Joseph; Pan, [...]
Publié: 2004
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Documents: International Journal of Advanced Robotic Systems
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Time of publication 2013
License information Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported License

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