Benchmarking Neural Networks Activation Functions for Cancer Detection

Miguel Angel Quiroz Martinez, Josue Ricardo Borja Vernaza, Daniel Humberto Plua Moran, Maikel Yelandi Leyva Vazquez

Resultado de la investigación: Capítulo del libro/informe/acta de congresoContribución de conferenciarevisión exhaustiva

Resumen

The choice of the most suitable activation functions for artificial neural networks significantly affects training time and task performance. Breast cancer detection is currently based on the use of neural networks and their selection is an element that affects performance. In the present work, reference information on activation functions in neural networks was analyzed. Exploratory research, comprehensive reading, stepwise approach, and deduction were applied as a method. It resulted in phases of comparative evaluation inactivation functions, a quantitative and qualitative comparison of activation functions, and a prototype of neural network algorithm with activation function to detect cancer; It was concluded that the final results put as the best option to use ReLU for early detection of cancer.

Idioma originalInglés
Título de la publicación alojadaHuman Interaction, Emerging Technologies and Future Systems V - Proceedings of the 5th International Virtual Conference on Human Interaction and Emerging Technologies, IHIET 2021 and the 6th IHIET
Subtítulo de la publicación alojadaFuture Systems IHIET-FS 2021
EditoresTareq Ahram, Redha Taiar
EditorialSpringer Science and Business Media Deutschland GmbH
Páginas867-873
Número de páginas7
ISBN (versión impresa)9783030855390
DOI
EstadoPublicada - 2022
Evento5th International Virtual Conference on Human Interaction and Emerging Technologies, IHIET 2021 and 6th International Conference on Human Interaction and Emerging Technologies: Future Systems, IHIET-FS 2021 - Virtual, Online
Duración: 27 ago. 202129 ago. 2021

Serie de la publicación

NombreLecture Notes in Networks and Systems
Volumen319
ISSN (versión impresa)2367-3370
ISSN (versión digital)2367-3389

Conferencia

Conferencia5th International Virtual Conference on Human Interaction and Emerging Technologies, IHIET 2021 and 6th International Conference on Human Interaction and Emerging Technologies: Future Systems, IHIET-FS 2021
CiudadVirtual, Online
Período27/08/2129/08/21

Nota bibliográfica

Publisher Copyright:
© 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

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