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Optimization of Convolutional Neural Network using Microcanonical
  Annealing Algorithm

Optimization of Convolutional Neural Network using Microcanonical Annealing Algorithm

7 October 2016
Vina Ayumi
L. M. R. Rere
M. I. Fanany
A. M. Arymurthy
ArXiv (abs)PDFHTML

Papers citing "Optimization of Convolutional Neural Network using Microcanonical Annealing Algorithm"

7 / 7 papers shown
Title
Evolving Deep Neural Network by Customized Moth Flame Optimization
  Algorithm for Underwater Targets Recognition
Evolving Deep Neural Network by Customized Moth Flame Optimization Algorithm for Underwater Targets Recognition
M. Khishe
M. Mohammadi
Tarik Ahmed Rashid
Hoger Mahmud
Seyedali Mirjalili
50
4
0
16 Feb 2023
Advances in Electron Microscopy with Deep Learning
Advances in Electron Microscopy with Deep Learning
Jeffrey M. Ede
101
3
0
04 Jan 2021
Review: Deep Learning in Electron Microscopy
Review: Deep Learning in Electron Microscopy
Jeffrey M. Ede
197
80
0
17 Sep 2020
Lights and Shadows in Evolutionary Deep Learning: Taxonomy, Critical
  Methodological Analysis, Cases of Study, Learned Lessons, Recommendations and
  Challenges
Lights and Shadows in Evolutionary Deep Learning: Taxonomy, Critical Methodological Analysis, Cases of Study, Learned Lessons, Recommendations and Challenges
Aritz D. Martinez
Javier Del Ser
Esther Villar-Rodriguez
E. Osaba
Javier Poyatos
Siham Tabik
Daniel Molina
Francisco Herrera
129
28
0
09 Aug 2020
PairNets: Novel Fast Shallow Artificial Neural Networks on Partitioned
  Subspaces
PairNets: Novel Fast Shallow Artificial Neural Networks on Partitioned Subspaces
L. M. Zhang
14
2
0
24 Jan 2020
Optimization of Convolutional Neural Network Using the Linearly
  Decreasing Weight Particle Swarm Optimization
Optimization of Convolutional Neural Network Using the Linearly Decreasing Weight Particle Swarm Optimization
T. Serizawa
H. Fujita
36
32
0
16 Jan 2020
A New Compensatory Genetic Algorithm-Based Method for Effective
  Compressed Multi-function Convolutional Neural Network Model Selection with
  Multi-Objective Optimization
A New Compensatory Genetic Algorithm-Based Method for Effective Compressed Multi-function Convolutional Neural Network Model Selection with Multi-Objective Optimization
L. M. Zhang
14
4
0
08 Jun 2019
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