Research Repository

Items where Author is "Fairbank, Michael"

Up a level
Export as [feed] Atom [feed] RSS 1.0 [feed] RSS 2.0
Group by: Item Type | No Grouping
Number of items: 14.

Article

Fairbank, Michael and Samothrakis, Spyridon and Citi, Luca (2022) 'Deep Learning in Target Space.' Journal of Machine Learning Research, 23. pp. 1-46. ISSN 1532-4435

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. p. 1. ISSN 2327-4662

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. ISSN 1549-8328

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. ISSN 1083-4419

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. ISSN 2162-237X

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. ISSN 2162-237X

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. ISSN 0893-6080

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. ISSN 1045-9227

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. ISSN 0899-7667

Monograph

Fairbank, Michael and Samothrakis, Spyridon and Citi, Luca (2020) Deep Learning in Target Space. Working Paper. arXiv. (Unpublished)

Conference or Workshop Item

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)

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)

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.

This list was generated on Wed May 25 01:54:22 2022 BST.