Formation of Momentum and Learning Rate Profile for Online Training and Testing of HMLP with ALRPE
作者： Zuraidi Saad , Mohd Yusoff Mashor , Wan Khairunizam Wan Ahmad
DOI: 10.1007/978-3-319-26535-3_31
关键词:
摘要: The technique of momentum and learning rate formation for children pedagogy was adopted to improve the performance algorithm in training hybrid multilayered perceptron network HMLP using modified recursive prediction error MRPE algorithm. An Adaptive Learning Recursive Prediction Error Algorithm ALRPE is proposed as a second version with guidance new profile rate. online model used forecast speed, revolution fuel balanced Proton Gen2 car tank. measured injected from injection sensor became an input These forecasted variables were also sensors. To date, there restricted study on effect HMLP. This proposes nonlinear modelling Previous conventional developed only based its general generalisation lack discussion thus, motivates this research technique. Experimental results showed that can improved range 0.002i¾źdB 3.15i¾źdB mean square MSE validation.
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