Investigation of optimized ELM using Invasive Weed-optimization and Cuckoo-Search optimization
In order to classify data and improve extreme learning machine (ELM), this study explains how a hybrid optimization-driven ELM technique was devised. Input data are pre-processed in order to compute missing values and convert data to numerical values using the exponential kernel transform. The Jaro–...
Main Authors: | Rathod Nilesh, Wankhade Sunil |
---|---|
Format: | Article |
Language: | English |
Published: |
De Gruyter
2022-10-01
|
Series: | Nonlinear Engineering |
Subjects: | |
Online Access: | https://doi.org/10.1515/nleng-2022-0257 |
Similar Items
-
Reservoir operation management using a new hybrid algorithm of Invasive Weed Optimization and Cuckoo Search Algorithm
by: Mugdha Trivedi, et al.
Published: (2023-08-01) -
Fuzzy optimization-based Water Distribution Network design using Self-Adaptive Cuckoo Search Algorithm
by: A. Vasan, et al.
Published: (2022-03-01) -
Memetic Cuckoo-Search-Based Optimization in Machining Galvanized Iron
by: Kanak Kalita, et al.
Published: (2020-07-01) -
A New Approach for Software Cost Estimation with a Hybrid Tabu Search and Invasive Weed Optimization Algorithms
by: Hoshmen Murad Mohamedyusf, et al.
Published: (2024-02-01) -
An Application of the Cuckoo Optimization Algorithm in the Optimal Operation of Hydropower Reservoir (Case Study: The Karun4 Reservoir)
by: Seyed Mohammad Hosseini-Moghari, et al.
Published: (2017-05-01)