Identification of a Typical CSTR Using Optimal Focused Time Lagged Recurrent Neural Network Model with Gamma Memory Filter

Table 3

Parameters of FTLR NN (Benchmark data). Number of Exemplars: Training = 3000, Testing = 4500, Max epoh = 1000, Partially recurrent, Gamma, Norm → L-infinity.

Sr. no.	Parameters	Hidden layer # 1	Output layer
1	Processing Elements	39	1
2	Transfer function	tan h	sigmoid
3	Learning rule	dbd	dbd