Improving multilayer perceptron neural network using two enhanced moth-flame optimizers to forecast iron ore prices
The quality of the output produced by the multi-layer perceptron neural network depends on the careful selection of its weights and biases. The gradient descent technique is commonly used for choosing MLP’s optimal configuration, but it can suffer from being stuck in local optima and slow convergenc...
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2024
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| Online Access: | http://hdl.handle.net/11675/12132 http://www.scopus.com/inward/record.url?scp=85187785953&partnerID=8YFLogxK |
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