Modelling Vapour-Compression Refrigeration with Decision Tree Classification

1. Introduction

Rising fuel prices and an unstable grid have intensified interest in vapour-compression refrigeration for leather processing. Field surveys of leather processing provided the dataset to which decision tree classification was subsequently applied. The largest improvement, close to 63%, was obtained for the case with 9 stages. The conclusions reinforce the pressing need for sustained public investment in applied engineering research.

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2. Materials and Methods

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3. Results and Discussion

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4. Conclusion

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