A Delicate Neural Network and Its Application in Sewage Soft Sensor

This paper presents a rapidly and lower neural networks to treat those waste water index that is difficult to be measured. Model called soft sensor is composited two parts: one is used to estimate the principal linear output, the other one is used to adjust estimated error to obtain better accuracy. Selection of features that effects greatly computation scale and predict accuracy is discussed also to achieve a better result. Finally, an experiment is provided for testing. Simulation results show the method proposed here is valid and has good performance.

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