Modelling and Analysis of Virotherapy of Cancer Using an Efficient Hybrid Soft Computing Procedure

Table 10

Problem 3: analysis based on the variation of the number of neurons.

Variable	I (t)			U (t)			V (t)
Input(t)\neurons	27	45	90	27	45	90	27	45	90
0	0.000172	1.06E − 09	2.18E − 05	0.000172	8.12E − 12	0.000125	0.001216	8.06E − 10	5.50E − 05
0.1	0.000312	7.40E − 10	0.000361	0.000312	1.92E − 08	0.0001	0.002978	5.13E − 09	0.000204
0.2	0.00073	7.90E − 11	0.000519	0.00073	4.04E − 10	0.000211	0.004477	4.29E − 09	0.00027
0.3	0.001279	8.48E − 11	0.000507	0.001279	5.15E − 09	0.000239	0.005745	5.58E − 12	0.000277
0.4	0.00187	3.82E − 09	0.000375	0.00187	1.47E − 09	0.00021	0.00681	6.30E − 10	0.000244
0.5	0.002463	1.10E − 09	0.000166	0.002463	9.94E − 11	0.000145	0.007697	4.60E − 11	0.000187
0.6	0.003044	1.08E − 11	8.28E − 05	0.003044	3.60E − 10	6.02E − 05	0.008431	4.16E − 10	0.00012
0.7	0.003607	4.46E − 12	0.00034	0.003607	7.72E − 15	2.80E − 05	0.009035	2.70E − 10	5.55E − 05
0.8	0.004154	2.73E − 10	0.000583	0.004154	2.71E − 09	0.00011	0.009526	2.90E − 10	7.59E − 07
0.9	0.004689	5.12E − 10	0.000793	0.004689	3.08E − 09	0.000183	0.009922	4.65E − 12	3.95E − 05
1	0.005218	1.18E − 10	0.000958	0.005218	1.08E − 08	0.000242	0.010237	1.49E − 09	6.19E − 05