Prediction of Zeta Potential of Decomposed Peat via Machine Learning: Comparative Study of Support Vector Machine and Artificial Neural Networks
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![Table 1. Statistical experimental results of the determination of zeta potential of decomposed peat (data extracted from Asadi's research [15] )](https://thumb-us.123doks.com/thumbv2/123dok_us/1888838.146412/3.596.45.552.164.225/statistical-experimental-results-determination-potential-decomposed-extracted-research.webp)
![Figure 2 illustrates the main structure of a typical SVM [19]. The letter “K[20]. As it can be seen from Figure 2, it is a small subset extracted from the training data by relevant algorithm that consists of the SVM](https://thumb-us.123doks.com/thumbv2/123dok_us/1888838.146412/4.596.178.453.227.395/figure-illustrates-structure-extracted-training-relevant-algorithm-consists.webp)
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