TY - GEN
T1 - Picture reconstruction methods based on multilayer perceptrons
AU - Hu, Yiheng
AU - Hu, Zhihua
AU - Chen, Jin
N1 - Funding Information:
I should express my gratitude for funding support of Control Theory and Control Engineering Discipline XXXPY1609 and the funding number is A20NH1609B21-92.
Publisher Copyright:
© Springer International Publishing AG 2017.
PY - 2016/11/30
Y1 - 2016/11/30
N2 - Multilayer Perceptrons (MLPs) with Back Propagation (BP) training algorithm have been successfully utilized for solving a wide variety of real world engineering problems, such as pattern classification, character recognition, function approximation, clustering and forecasting. In this paper, a MLP classifier is built by using BP algorithm for picture reconstruction. According to the engineering consideration of the effectiveness and efficiency, the optimal parameters of neural networks are carefully selected. Moreover, the contribution of data size for reconstruction accuracy and time consuming are checked. The number of epochs for training is also an important fact for time consuming which has strong relationship with the avoid overtraining algorithm.
AB - Multilayer Perceptrons (MLPs) with Back Propagation (BP) training algorithm have been successfully utilized for solving a wide variety of real world engineering problems, such as pattern classification, character recognition, function approximation, clustering and forecasting. In this paper, a MLP classifier is built by using BP algorithm for picture reconstruction. According to the engineering consideration of the effectiveness and efficiency, the optimal parameters of neural networks are carefully selected. Moreover, the contribution of data size for reconstruction accuracy and time consuming are checked. The number of epochs for training is also an important fact for time consuming which has strong relationship with the avoid overtraining algorithm.
KW - Backpropagation
KW - Effectiveness
KW - Efficiency
KW - Multilayer Perceptrons
UR - http://www.scopus.com/inward/record.url?scp=85007087064&partnerID=8YFLogxK
UR - https://link.springer.com/book/10.1007/978-3-319-49568-2
U2 - 10.1007/978-3-319-49568-2_48
DO - 10.1007/978-3-319-49568-2_48
M3 - Conference contribution
AN - SCOPUS:85007087064
SN - 9783319495675
VL - 541
T3 - Advances in Intelligent Systems and Computing
SP - 337
EP - 342
BT - Recent Developments in Intelligent Systems and Interactive Applications
A2 - Xhafa, Fatos
A2 - Patnaik, Srikanta
A2 - Yu, Zhengtao
PB - Springer, Cham
T2 - International Conference on Intelligent and Interactive Systems and Applications
Y2 - 25 June 2016 through 26 June 2016
ER -