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Using Accuracy Measure for Improving the Training of LSTM with Metaheuristic Algorithms, these are; Harmony Search (HS), Gray Wolf Optimizer (GWO), Sine Cosine (SCA), and Ant Lion Optimization algorithms (ALOA). The suggested representations are used for classification and analysis of real and medical time series data sets (Breast Cancer Wiscons…

Tarik4Rashid4/lstm-hs

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lstm-hs

Using global optimisation searches to train recurrent neural network

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Tarik A. Rashid, Polla Fattah and Delan K. Awlaa (2018), Using Accuracy Measure for Improving the Training of LSTM with Metaheuristic Algorithms, Procedia Computer Science 140, 324–333, https://doi.org/10.1016/j.procs.2018.10.307

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Using Accuracy Measure for Improving the Training of LSTM with Metaheuristic Algorithms, these are; Harmony Search (HS), Gray Wolf Optimizer (GWO), Sine Cosine (SCA), and Ant Lion Optimization algorithms (ALOA). The suggested representations are used for classification and analysis of real and medical time series data sets (Breast Cancer Wiscons…

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