Corpus ID: 102352624

A Novel Continuous Representation of Genetic Programmings using Recurrent Neural Networks for Symbolic Regression

@article{Anjum2019ANC,
  title={A Novel Continuous Representation of Genetic Programmings using Recurrent Neural Networks for Symbolic Regression},
  author={Aftab Anjum and Fengyang Sun and Lin Wang and Jeff Orchard},
  journal={ArXiv},
  year={2019},
  volume={abs/1904.03368}
}
Neuro-encoded expression programming that aims to offer a novel continuous representation of combinatorial encoding for genetic programming methods is proposed in this paper. Genetic programming with linear representation uses nature-inspired operators to tune expressions and finally search out the best explicit function to simulate data. The encoding mechanism is essential for genetic programmings to find a desirable solution efficiently. However, the linear representation methods manipulate… Expand
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