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Estimating dye concentrations in three-component wastewater by neuro-fuzzy technique

机译:用神经模糊技术估算三组分废水中的染料浓度

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摘要

Several techniques have been suggested in the past to estimate the dye concentration in multiple-component solutions. This work explains new techniques based on adaptive neuro-fuzzy inference technique for measuring dye concentration in three-component wastewater solution. The performance of new method is compared with the normal Beer's law. The mean ternary relative error in Beer's law and neuro-fuzzy and PCA-neuro-fuzzy methods are 15.71, 6.044, and 5.814, respectively. The obtained results indicate that the performance of neuro-fuzzy technique is better than normal spectrophotometry method.
机译:过去已经提出了几种技术来估计多组分溶液中的染料浓度。这项工作解释了基于自适应神经模糊推理技术的新技术,用于测量三组分废水溶液中的染料浓度。将新方法的性能与正常比尔定律进行比较。在比尔定律和神经模糊法和PCA神经模糊法中,平均三元相对误差分别为15.71、6.044和5.814。所得结果表明,神经模糊技术的性能优于常规分光光度法。

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