Enhanced Salp Search Algorithm for Optimization Extreme Learning Machine and Application to Dew Point Temperature Prediction

Enhanced Salp Search Algorithm for Optimization Extreme Learning Machine and Application to Dew Point Temperature Prediction

Abstract Extreme learning machine (ELM) is popular as a method of training single hidden layer feedforward neural networks. However, the ELMs optimized by the traditional gradient descent algorithms cannot fundamentally solve the influence of the random selection of the input weights and biases. The...

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Bibliographic Details
Main Authors: Xiangmin Zhang, Yongquan Zhou, Huajuan Huang, Qifang Luo
Format: Article
Language:English
Published: Springer 2022-11-01
Series:International Journal of Computational Intelligence Systems
Subjects:
Extreme learning machine
Salp search algorithm
NSSA-ELM
Dew point temperature
Metaheuristic
Online Access:https://doi.org/10.1007/s44196-022-00160-y

Internet

https://doi.org/10.1007/s44196-022-00160-y

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