A deep belief network with PLSR for nonlinear system modeling-Reference-Cited by-同舟云学术

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A deep belief network with PLSR for nonlinear system modeling

Published:2018-08 Issue: Volume:104 Page:68-79
ISSN:0893-6080
Container-title:Neural Networks
language:en
Short-container-title:Neural Networks

Author:

Qiao Junfei,Wang Gongming,Li Wenjing,Li Xiaoli

Funder

National Outstanding Youth Science Foundation of China

National Natural Science Foundation of China

Start-up Funding of Content development and the Introduced Talent Research

Beijing Nova Programme Interdisciplinary Cooperation

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience

Reference39 articles.

1. Modelling and identification of non-linear deterministic systems in the delta-domain;Anderson;Automatica,2007

2. Representation learning: A review and new perspectives;Bengio;IEEE Transactions on Pattern Analysis and Machine Intelligence,2013

3. Adaptive importance sampling to accelerate training of a neural probabilistic language model;Bengio;IEEE Transactions on Neural Networks,2008

4. Performance improvement of backpropagation algorithm by automatic activation function gain tuning using fuzzy logic;Eom;Neurocomputing,2003

5. Multi-stage genetic programming: a new strategy to nonlinear system modeling;Gandomi;Information Sciences,2011

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