Using Machine Learning an Artificial Neural network was created which predicts COP of a trancritical cycle. The dataset was generated using Engineering Equation solver EES by writing a program. The EES program and dataset has been upladed in the repository. Using KERAS sublibrary of Tenserflow an Artifical neural network of sequential class was created with 6 input nodes 6 hidden layer nodes and 1 ouput layer node. The predictions were quite accurate and R2 score was more than 80%.
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Using Machine Learning an Artificial Neural network was created which predicts COP of a trancritical cycle.
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