A hybrid optimization method by incorporating adaptive response strategy for Feedforward neural network
Particle swarm optimisation algorithm (PSO) possesses a strong exploitation capability due to its fast search speed. It, however, suffers from an early convergence leading to its inability to preserve diversity. An improved particle swarm optimiser is proposed based on a constriction factor and Grav...
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| Main Authors: | Jeremiah Osei-kwakye, Fei Han, Alfred Adutwum Amponsah, Qinghua Ling, Timothy Apasiba Abeo |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2022-12-01
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| Series: | Connection Science |
| Subjects: | |
| Online Access: | http://dx.doi.org/10.1080/09540091.2021.2025339 |
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