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gecco
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EXONA: The Evolutionary eXploration of Neural Networks Framework -- EXACT, EXALT and EXAMM
evolution
neuroevolution
evolutionary-algorithms
gecco
time-series-prediction
evolved-neural-networks
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Aug 31, 2020 - C++
The experimental codes using PyTorch from the paper that was submitted to GECCO 2020.
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May 29, 2020 - Python
The LaTeX codes of the paper that was accpeted to GECCO 2020.
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Updated
May 9, 2020 - TeX
The LaTeX codes of the paper that was accpeted to GECCO 2020.
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May 6, 2020 - TeX
A repository to store paper and codes submitted to GECCO 2018 LBA
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Sep 27, 2018 - HTML
WARNING: This is just the results and scripts for analysis (GP system is a variation of jGPv9). A project using genetic programming to perform symbolic regression on fMRI data. There is a need for this because typical approaches use only linear regression. This is bad because the breain is a nonlinear system, and a linear model of a nonlinear system will never be accurate. Currently this work has 2 publications in GECCO.
neuroscience
nonlinear
symbolic-regression
genetic-programming
linear
fmri
evolutionary-algorithm
gecco
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Jun 27, 2017 - Python
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