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Copy file name to clipboardExpand all lines: examples/lorenz-ctrnn/README.md
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Evolves a Continuous-Time Recurrent Neural Network (CTRNN) using NEAT to predict the next-step state of the Lorenz attractor. The Lorenz system is a chaotic dynamical system where small errors grow exponentially, making it a challenging benchmark for evolved networks.
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Ported from the Julia [NeatEvolution](https://github.com/alanderos91/NeatEvolution.jl) lorenz_ctrnn example.
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Ported from the Julia [NeatEvolution](https://github.com/CodeReclaimers/NeatEvolution.jl) lorenz_ctrnn example. (Release coming soon!)
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