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Structure Learning for Deep Neural Networks Based on Multiobjective Optimization

IEEE Transactions on Neural Networks and Learning Systems

May 11, 2017

Jia LiuHao Li

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Abstract

This paper focuses on the connecting structure of deep neural networks and proposes a layerwise structure learning method based on multiobjective optimization. A model with better generalization can be obtained by reducing the connecting parameters in deep networks. The aim is to find t...read more

Mentioned in this Paper

Biological Neural Networks
Denomination
Neural Network Simulation
Structure
Depth
Learning
Purity of essence protein, Drosophila
Research Study
58
Paper Details
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Structure Learning for Deep Neural Networks Based on Multiobjective Optimization

IEEE Transactions on Neural Networks and Learning Systems

May 11, 2017

Jia LiuHao Li

PMID: 28489552

DOI: 10.1109/tnnls.2017.2695223

Abstract

This paper focuses on the connecting structure of deep neural networks and proposes a layerwise structure learning method based on multiobjective optimization. A model with better generalization can be obtained by reducing the connecting parameters in deep networks. The aim is to find t...read more

Mentioned in this Paper

Biological Neural Networks
Denomination
Neural Network Simulation
Structure
Depth
Learning
Purity of essence protein, Drosophila
Research Study
58

Feeds With Similar Papers

Neural Networks

Here is the latest research on physiological and in silico networks and circuits implicated in the nervous system.

Related Papers

IEEE Transactions on Neural Networks and Learning Systems

A Multiobjective Sparse Feature Learning Model for Deep Neural Networks

IEEE Transactions on Neural Networks and Learning SystemsSeptember 5, 2015
Maoguo GongLinzhi Su
IEEE Transactions on Cybernetics

Stacked Convolutional Denoising Auto-Encoders for Feature Representation

IEEE Transactions on CyberneticsMarch 19, 2016
Bo DuDacheng Tao
Paper Details
References
  • References19
  • Citations
12
  • References19
  • Citations
  • quote and clock

    No citations available

    This paper may not have been cited yet.

Download from

Publisher
PubMed
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