results show that the optimal DL technique for predicting daily accuracy improvement of the JKII prices is the LM training … algorithm based on using small data which provide superior prediction accuracy to big data of symmetric volatility information …

results show that the optimal DL technique for predicting daily accuracy improvement of the JKII prices is the LM training … algorithm based on using small data which provide superior prediction accuracy to big data of symmetric volatility information …

-processing, artificial intelligence technique, training algorithm, and performance measure. Our findings highlight that AI techniques can be …

-processing, artificial intelligence technique, training algorithm, and performance measure. Our findings highlight that AI techniques can be …

investigation concerning optimum values of ANN model parameters, namely input data sample size, network architecture and training … algorithm is conducted and conclusions concerning models performance in these cases are drawn. …

totally disappear in the networks trained by the global training algorithm if the memory limit cycles are sufficiently long …We show that the delayed feedback neural networks for storing limit cycles can be trained using a global training … algorithm. It is found that the storage capacity of the networks is in proportion to delay length as in the networks trained by …