0. SECTIONS ------------- 1. Project 2. Dataset 3. Terms of Use 4. Content 5. Method and Processing 6. Changelog 1. PROJECT ------------ Title: Topology Reconfiguration in Distributed Echo State Networks Dates: Oct 2011 - Sept 2015 Funding organisation: EPSRC & Thales Research UK Grant no.: 2. DATASET ------------ Title: Topology Reconfiguration in Distributed Echo State Networks Dataset Description: full parameter-accuracy results for the thesis "Topology Reconfiguration in Distributed Echo State Networks" Publication Year: 2015 Creator(s) Name(s): Daniel Dean Organisation(s): University of Reading 3. TERMS OF USE ----------------- This work is licensed by the Creative Commons Attribution license seen at https://creativecommons.org/licenses/by/3.0/ . 4. CONTENT ------------ File listing: ch3\Hybrid\* :ESN pool damage compensation using hybrid-type output layer optimisers. File name indicates exact optimiser used ch3\Least square* :ESN pool damage compensation using least square-type output layer optimisers. File name indicates exact optimiser used ch3\Population\* :ESN pool damage compensation using population based output layer optimisers. File name indicates exact optimiser used ch4\Hierarchical\NARMA\*:dESN experiments on NARMA30 dataset. file name follows form: hier_{damaged(dynamic)/undamaged(static)}_{training type}_{network config} ch4\Hierarchical\USPS\* :dESN experiments on USPS dataset. file name follows form: hier_{damaged(dynamic)/undamaged(static)}_{training type}_{network config} ch4\Recurrent\NARMA\* :dESN experiments on NARMA30 dataset. file name follows form: recur_{damaged(dynamic)/undamaged(static)}_{training type}_{network config} ch4\Recurrent\USPS\* :dESN experiments on USPS dataset. file name follows form: recur_{damaged(dynamic)/undamaged(static)}_{training type}_{network config} ch5\commfailure.csv :dESN implementation in a simulation environment. Results for 5x NARAMA30 problems with iterations of discovery. Additional information Organisation of files: Files organised by chapter/subsection, as in thesis. File formats and structure: All *.csv Required software (including version): Python(x,y) 2.7, OGER library (latest revision as of may 2015), thesis-created tools. 5. METHOD and PROCESSING -------------------------- See Topology Reconfiguration in Distributed Echo State Networks. 6. CHANGELOG --------------- 22/09/2015: Dataset IP issues resolved. Dataset fully uploaded. 17/09/2015: Created