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Turchetti, Claudio (2004), Stochastic Models of Neural Networks, Frontiers in artificial intelligence and applications: Knowledge-primarily based clever engineering systems, vol. Bozinovski, S. (2014) "Modeling mechanisms of cognition-emotion interplay in artificial neural networks, since 1981 Archived 23 March 2019 at the Wayback Machine." Procedia Computer Science p. Wei, Jiakai (26 April 2019). "Forget the learning Rate, Decay Loss". Ojha, Varun Kumar; Abraham, Ajith; Snášel, Václav (1 April 2017). "Metaheuristic design of feedforward neural networks: A assessment of two decades of analysis". Lau, Suki (10 July 2017). "A Walkthrough of Convolutional Neural Network - Hyperparameter Tuning". Dominic, S.; Das, R.; Whitley, D.; Anderson, C. (July 1991). "Genetic reinforcement studying for neural networks". Graves, A.; Liwicki, M.; Fernandez, S.; Bertolami, R.; Bunke, H.; Schmidhuber, J. (May 2009). "A Novel Connectionist System for Unconstrained Handwriting Recognition" (PDF). Rigo, D.; Castelletti, A.; Rizzoli, A. E.; Soncini-Sessa, R.; Weber, E. (January 2005). "A selective enchancment method for fastening Neuro-Dynamic Programming in Water Resources Network Management". Rigo, D.; Rizzoli, A. E.; Soncini-Sessa, R.; Weber, E.; Zenesi, P. (2001). "Neuro-dynamic programming for the efficient administration of reservoir networks". In Koller, D.; Schuurmans, Dale; Bengio, Yoshua; Bottou, L. (eds.). Kelleher, John D.; Mac Namee, Brian; D'Arcy, Aoife (2020). "7-8".

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