Reservoir Inflow Modeling Using Temporal Neural Networks with Forgetting Factor Approach

@inproceedings{Razavi2008ReservoirIM,
  title={Reservoir Inflow Modeling Using Temporal Neural Networks with Forgetting Factor Approach},
  author={Saman Razavi and Shahab Araghinejad},
  year={2008}
}
In this paper, a recursive training procedure with forgetting factor is proposed for on-line calibration of temporal neural networks. The forgetting factor discounts old measurements through an on-line model calibration. The forgetting factor approach enables the recursive algorithm to reduce the effect of the older error data by multiplying the error data… CONTINUE READING