July 25, 2025

A Novel RBF Neural Network-based Hybrid Technique and Its Applications

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This hybrid algorithm improves convergence accuracy in neural networks, suggesting advanced problem-solving capabilities.

The proposed hybrid algorithm integrates radial basis function neural networks with particle swarm and cuckoo search optimization.
Experimental results show improved convergence accuracy and reduced mean square error compared to existing algorithms.
The hybrid technique was tested on trigonometric functions and real-world applications to evaluate its efficacy.
This approach enhances training speed, making it suitable for complex, high-dimensional, stochastic, and nonlinear problems.

Ali et al. (2025) studied this question.

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