A modified weighted chimp optimization algorithm for training feed-forward neural network.
Swarm intelligence algorithms (SI) have an excellent ability to search for the optimal solution and they are applying two mechanisms during the search. The first mechanism is exploration, to explore a vast area in the search space, and when they found a promising area they switch from the exploratio...
Main Authors: | Eman A Atta, Ahmed F Ali, Ahmed A Elshamy |
---|---|
Format: | Article |
Language: | English |
Published: |
Public Library of Science (PLoS)
2023-01-01
|
Series: | PLoS ONE |
Online Access: | https://doi.org/10.1371/journal.pone.0282514 |
Similar Items
-
A Weighted Chimp Optimization Algorithm
by: Mohammad Khishe, et al.
Published: (2021-01-01) -
Development of a hybrid LSTM with chimp optimization algorithm for the pressure ventilator prediction
by: Fatma Refaat Ahmed, et al.
Published: (2023-11-01) -
UAV Path Planning Based on an Improved Chimp Optimization Algorithm
by: Qinglong Chen, et al.
Published: (2023-07-01) -
Binary Chimp Optimization Algorithm with ML Based Intrusion Detection for Secure IoT-Assisted Wireless Sensor Networks
by: Mohammed Aljebreen, et al.
Published: (2023-04-01) -
Water level forecasting using feed forward neural networks optimized by African Buffalo Algorithm (ABO)
by: Ahmed, Ehab Ali
Published: (2019)