Items where Author is "Fairbank, Michael"

Pisheh Var, Mahrad and Fairbank, Michael and Samothrakis, Spyridon (2023) Finding Eulerian tours in mazes using amemory-augmented fixed policy function. In: Computing Conference, 2023-06-22 - 2023-06-23, London.

Abdollahi, Mohammad and Yang, Xinan and Fairbank, Michael and Nasri, moncef (2023) Demand Management in Time-slotted Last-mile Delivery via Dynamic Routing with Forecast Orders. European Journal of Operational Research, 309 (2). pp. 704-718. DOI https://doi.org/10.1016/j.ejor.2023.01.023

Pisheh Var, Mahrad and Fairbank, Michael and Samothrakis, Spyros (2023) A Minimal “Functionally Sentient” Organism Trained with Backpropagation Through Time. Adaptive Behavior, 31 (6). pp. 531-544. DOI https://doi.org/10.1177/10597123231166416

Gao, Yixiang and Li, Shuhui and Xiao, Yang and Dong, Weizhen and Fairbank, Michael and Lu, Bing (2022) An Iterative Optimization and Learning-based IoT System for Energy Management of Connected Buildings. IEEE Internet of Things Journal, 9 (21). p. 1. DOI https://doi.org/10.1109/jiot.2022.3176306

Samothrakis, Spyridon and Matran-Fernandez, Ana and Abdullahi, Umar and Fairbank, Michael and Fasli, Maria (2022) Grokking-like effects in counterfactual inference. In: 2022 International Joint Conference on Neural Networks (IJCNN), 2022-07-18 - 2022-07-23, Padua, Italy.

Fairbank, Michael and Samothrakis, Spyridon and Citi, Luca (2022) Deep Learning in Target Space. Journal of Machine Learning Research, 23. pp. 1-46.

Fairbank, Michael and Samothrakis, Spyridon and Citi, Luca (2021) Deep Learning in Target Space. Working Paper. arXiv. (Unpublished)

Venugopal, Ishwar and Tollich, Jessica and Fairbank, Michael and Scherp, Ansgar (2021) A Comparison of Deep-Learning Methods forAnalysing and Predicting Business Processes. In: International Joint Conference on Neural Networks, IJCNN, 2021, 2021-07-18 - 2021-07-22, Shenzhen. (In Press)

Dong, Weizhen and Li, Shuhui and Fu, Xingang and Li, Zhongwen and Fairbank, Michael and Gao, Yixiang (2021) Control of a Buck DC/DC Converter Using Approximate Dynamic Programming and Artificial Neural Networks. IEEE Transactions on Circuits and Systems Part 1: Regular Papers, 68 (4). pp. 1760-1768. DOI https://doi.org/10.1109/tcsi.2021.3053468

Volkovas, Rokas and Fairbank, Michael and Woodward, John R and Lucas, Simon (2020) Practical Game Design Tool: State Explorer. In: IEEE Conference on Games (CoG) 2020, 2020-08-24 - 2020-08-27, Osaka, Japan.

Krause, Andreas and Fairbank, Michael (2020) Baseline win rates for neural-network based trading algorithms. In: 2020 International Joint Conference on Neural Networks (IJCNN 2020), 2020-07-19 - 2020-07-24, Glasgow. (In Press)

Li, Shuhui and Won, Hoyun and Fu, Xingang and Fairbank, Michael and Wunsch, Donald C and Alonso, Eduardo (2020) Neural-Network Vector Controller for Permanent-Magnet Synchronous Motor Drives: Simulated and Hardware-Validated Results. IEEE Transactions on Cybernetics, 50 (7). pp. 3218-3230. DOI https://doi.org/10.1109/tcyb.2019.2897653

Fu, Xingang and Li, Shuhui and Fairbank, Michael and Wunsch, Donald C and Alonso, Eduardo (2015) Training Recurrent Neural Networks With the Levenberg-Marquardt Algorithm for Optimal Control of a Grid-Connected Converter. IEEE Transactions on Neural Networks and Learning Systems, 26 (9). pp. 1900-1912. DOI https://doi.org/10.1109/TNNLS.2014.2361267

Fairbank, Michael and Prokhorov, Danil and Alonso, Eduardo (2014) Clipping in Neurocontrol by Adaptive Dynamic Programming. IEEE Transactions on Neural Networks and Learning Systems, 25 (10). pp. 1909-1920. DOI https://doi.org/10.1109/TNNLS.2014.2297991

Fairbank, Michael and Li, Shuhui and Fu, Xingang and Alonso, Eduardo and Wunsch, Donald (2014) An adaptive recurrent neural-network controller using a stabilization matrix and predictive inputs to solve a tracking problem under disturbances. Neural Networks, 49. pp. 74-86. DOI https://doi.org/10.1016/j.neunet.2013.09.010

Fairbank, Michael and Alonso, Eduardo and Prokhorov, Danil (2012) Simple and fast calculation of the second-order gradients for globalized dual heuristic dynamic programming in neural networks. IEEE Transactions on Neural Networks and Learning Systems, 23 (10). pp. 1671-1676. DOI https://doi.org/10.1109/tnnls.2012.2205268

Fairbank, Michael and Alonso, Eduardo (2012) Value-gradient learning. In: The 2012 International Joint Conference on Neural Networks (IJCNN), 2012-06-10 - 2012-06-15, Brisbane, QLD, Australia.

Fairbank, Michael and Alonso, Eduardo (2012) Efficient calculation of the Gauss-Newton approximation of the Hessian matrix in neural networks. Neural Computation, 24 (3). pp. 607-610. DOI https://doi.org/10.1162/neco_a_00248