Hybrid Aquila optimizer for efficient classification with probabilistic neural networks
Mohammed Alweshah,
Mustafa Alessa,
Saleh Alkhalaileh
et al.
Abstract:The model of a probabilistic neural network (PNN) is commonly utilized for classification and pattern recognition issues in data mining. An approach frequently used to enhance its effectiveness is the adjustment of PNN classifier parameters through the outcomes of metaheuristic optimization strategies. Since PNN employs a limited set of instructions, metaheuristic algorithms provide an efficient way to modify its parameters. In this study, we have employed the Aquila optimizer algorithm (AO), a contemporary al… Show more
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