Fig 1.
Workflow diagram of the proposed SCGNNs for solving the infection FONPPS.
Fig 2.
Proposed structure for a single neuron.
Fig 3.
Proposed SCGNNs for solving the infection FONPPS.
Fig 4.
Performances of MSE (a-c) and STs values (d-f) for solving the infection FONPPS.
(a) Case 1 M.S.E (b) Case 2: M.S.E (c) Case 3: M.S.E (d) Case I: EHs (e) Case 2: EHs (f) Case 3: EHs.
Fig 5.
Results valuations (a-c) and EHs values (d-f) for solving the infection FONPPS.
(a) Case 1 Result assessments (b) Case 2: Result assessments (c) Case 3: Result assessments (d) Case I: EHs (e) Case 2: EHs (f) Case 3: EHs.
Fig 6.
Regression actions for solving the infection FONPPS of Case 1.
Fig 7.
Regression actions for solving the infection FONPPS of Case 2.
Fig 8.
Regression actions for solving the infection FONPPS of Case 3.
Table 1.
Statistical procedures for solving the infection FONPPS using the proposed SCGNNs.
Fig 9.
Result comparison illustrations for solving the infection FONPPS.
(a) Results comparison for S(T) (b) Results comparison for I(T) (c) Results comparison for P(T).
Fig 10.
Values of the AE for solving the infection FONPPS.
(a) AE values for S(T) (b) AE values for I(T) (c) AE vlaues for P(T).