Using Cartesian Genetic Programming Approach with New Crossover Technique to Design Convolutional Neural Networks
- 1 December 2022
- journal article
- research article
- Published by Springer Nature in Neural Processing Letters
- Vol. 55 (5) , 5451-5471
Abstract
No abstract availableKeywords
This publication has 30 references indexed in Scilit:
- Deep Learning Architecture Search by Neuro-Cell-Based Evolution with Function-Preserving Mutations2019
- Genetic CNN2017
- Going deeper with convolutions2015
- A new crossover technique for Cartesian genetic programming2007
- Synapsing Variable-Length Crossover: Meaningful Crossover for Variable-Length GenomesIEEE Transactions on Evolutionary Computation, 2007
- Evolving Neural Networks through Augmenting TopologiesEvolutionary Computation, 2002
- Cartesian Genetic Programming2000
- Evolving artificial neural networksProceedings of the IEEE, 1999
- Gradient-based learning applied to document recognitionProceedings of the IEEE, 1998
- Efficient methods for multiple sequence alignment with guaranteed error boundsBulletin of Mathematical Biology, 1993