4.7 Article

Two-stage coevolution method for deep CNN: A case study in smart manufacturing

Related references

Note: Only part of the references are listed.
Review Neurosciences

An Overview of Deep Learning Algorithms and Their Applications in Neuropsychiatry

Gokhan Guney et al.

Summary: Deep learning algorithms have achieved significant success in the field of neuropsychiatry, with applications in different data types and playing important roles in diagnosis, prognosis estimation, and treatment response.

CLINICAL PSYCHOPHARMACOLOGY AND NEUROSCIENCE (2021)

Article Computer Science, Artificial Intelligence

Tool wear predicting based on multi-domain feature fusion by deep convolutional neural network in milling operations

Zhiwen Huang et al.

JOURNAL OF INTELLIGENT MANUFACTURING (2020)

Article Computer Science, Artificial Intelligence

Evolving Deep Convolutional Neural Networks for Image Classification

Yanan Sun et al.

IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION (2020)

Article Engineering, Electrical & Electronic

A Deep Learning-Based Surface Defect Inspection System Using Multiscale and Channel-Compressed Features

Jiangxin Yang et al.

IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT (2020)

Proceedings Paper Computer Science, Artificial Intelligence

Evolving Deep Neural Networks by Multi-objective Particle Swarm Optimization for Image Classification

Bin Wang et al.

PROCEEDINGS OF THE 2019 GENETIC AND EVOLUTIONARY COMPUTATION CONFERENCE (GECCO'19) (2019)

Proceedings Paper Engineering, Electrical & Electronic

An Evolutionary Deep Learning Approach Using Genetic Programming with Convolution Operators for Image Classification

Ying Bi et al.

2019 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION (CEC) (2019)

Article Automation & Control Systems

A Manufacturing Big Data Solution for Active Preventive Maintenance

Jiafu Wan et al.

IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS (2017)

Proceedings Paper Computer Science, Artificial Intelligence

Towards the Evolution of Multi-Layered Neural Networks: A Dynamic Structured Grammatical Evolution Approach

Filipe Assuncao et al.

PROCEEDINGS OF THE 2017 GENETIC AND EVOLUTIONARY COMPUTATION CONFERENCE (GECCO'17) (2017)

Article Automation & Control Systems

Artificial neural network development by means of a novel combination of grammatical evolution and genetic algorithm

Fardin Ahmadizar et al.

ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE (2015)

Article Engineering, Mechanical

Signal Model-Based Fault Detection and Diagnosis for Induction Motors Using Features of Vibration Signal in Two-Dimension Domain

Van Tuan Do et al.

STROJNISKI VESTNIK-JOURNAL OF MECHANICAL ENGINEERING (2011)

Article Computer Science, Artificial Intelligence

A computationally efficient evolutionary algorithm for real-parameter optimization

K Deb et al.

EVOLUTIONARY COMPUTATION (2002)

Article Computer Science, Artificial Intelligence

Evolving neural networks through augmenting topologies

KO Stanley et al.

EVOLUTIONARY COMPUTATION (2002)