Hands-on Artificial Evolution Through Brain Programming
| Autor: | Gustavo Olague, Mariana Chan-Ley |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Computer science
business.industry media_common.quotation_subject Evolutionary algorithm Evolutionary learning Machine learning computer.software_genre Convolutional neural network Scratch Image database Benchmark (computing) Quality (business) Artificial intelligence business computer Web site media_common computer.programming_language |
| Zdroj: | Genetic Programming Theory and Practice XVII ISBN: 9783030399573 GPTP |
| DOI: | 10.1007/978-3-030-39958-0_12 |
| Popis: | This paper is about the evolution of a bio-inspired methodologyhttp://evovision.cicese.mx that mimics the cortical visual pathways. The methodology has been extensively tested on problems with different levels of complexity with outstanding results. After a review of the main works, the problem of classification of digitized art is introduced. An image database of five classes downloaded from the Kaggle web site is used as a benchmark for evolutionary learning. A comparison with convolutional neural network from scratch and the well-known AlexNet is provided to illustrate the quality of the proposal in comparison with the state-of-the-art. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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