PH (potential of hydrogen) value predicting method of BP (back propagation) neutral network based on simulated annealing optimization

Abstract

The invention discloses a pH (potential of hydrogen) value predicting method of a BP (back propagation) neutral network based on a simulated annealing (SA) algorithm optimization. The pH value predicting method comprises the following steps: step one, selecting a sample according to a sample selecting strategy and inputting; step two, according to the BP theorem, determining the structure of the BP neutral network; step three, according to a network training strategy, applying the simulated annealing algorithm to optimize the BP network weight parameter; training the BP network by using the input sample, and determining the optimal weight and optimal hidden node number of the BP network; step four, according to the well trained BP neutral network, structuring a predicting model of the pH value. The pH value predicting method overcomes the randomness of the BP network in terms of weight selection, improves the rate of convergence and study ability of the BP neutral network. Besides, the method optimizes the selection of the training sample and the network hidden neutral element number, and improves the generalization ability of the BP neutral network. Moreover, the pH value predicting method is high in predicting accuracy of pH value and good in nonlinear fitting ability.

Description

technical field [0001] The invention relates to a method in the field of parameter prediction and estimation, in particular to a pH value prediction method based on a simulated annealing optimized BP neural network. technical background [0002] Whether it is the detection of formation water, drinking water, or industrial water, pH value and chloride ion concentration are important parameters to be measured. At present, the determination of chloride ion concentration in formation water mostly adopts routine laboratory analysis methods, such as potentiometric titration and ion chromatography. These methods are complicated to operate and cannot be applied in the field. For the detection of pH value, in addition to the pH meter, the most widely used method is the test paper method. This method uses the human eye to compare the color card to judge the pH value. Therefore, it is greatly affected by human factors, such as differences in human color vision. In addition, prospect...

AI Technical Summary

Problems solved by technology

But it has the following disadvantages: (1) The traditional BP network uses the gradient descent method to calculate the connection weight, which is easy to fall into the local minimum (2) The convergence speed is slow

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