Based on transcendental knowledge of neuron model to achieve PH detection and control
Tao Chi, Ming Chen · 2010
In the environment inspection and control process, there are some problems that can't be solved because of the lack of background knowledge, but artificial neural network system can learn to deal with these problems by learning specific examples and give good answer. In view of the highly non-linear and changeable problems existing in the PH neutralization, the paper proposed completing the PH value examination and the control operation which based on transcendental knowledge with the union neuron control, and analyzed the reason why PH value sometimes is able to have the oscillatory occurrences. The experiment proved that this method may effectively control the neutralization processes which have the serious nonlinear response property. By means of adjusting neuron gain, it eliminated and reduced the object which had non-linearity and non-determinacy that had the adverse effect to the neuron study and has satisfied the control request in PH neutralization process.