brianwade1/sonar_mine_NN_v_RF brianwade1/sonar_mine_NN_v_RF

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  • Rank 2,861,937 (Top 57 %)
  • Language
    MATLAB
  • Created about 4 years ago
  • Updated about 4 years ago
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brianwade1/sonar_mine_NN_v_RF
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brianwade1

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Repository Details

This project uses a grid search optimization and then trains two models: a fully connected feed-forward neural network and a random forest to classify the returns from a sonar examining simulated mines (metal cylinders) and standard rocks (false mines).

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