Моделирование искусственных нейронных сетей в системе MATLAB. Часть 3. Радиальные базисные сети. Донской Д.А - 40 стр.

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Номер
варианта
Значения
параметра
SPREAD
Значения
вектора
входа
Значения
целевого вектора
1 0.1 1 15 –4:0.4:4 {0 –0.25 –0.5 –0.7 –0.9 –1 –0.9 –0.6 –0.2 0.1 0.4
0.7 0.9 1 0.9 0.75 0.5 0.4 0.3 0.2 0.1}
2 0.2 1 20 –3:0.3:3 {0 0.5 1 1.4 1.8 2 1.8 1.2 0.4 –0.2 –0.8
–1.4 –1.8 –2 –1.8 –1.5 –1.1 –0.8 –0.6 –0.35 –0.1}
3 0.3 1 25 –2:0.2:2 {0 –0.5 –1 –1.4 –1.8 –2 –1.8 –1.2 –0.4 0.2 0.8
1.4 1.8 2 1.8 1.5 1.1 0.8 0.6 0.35 0.1}
4 0.2 1 30 –1:0.1:1 {1 0.8 0.5 0 0.25 0.5 0.6 0.5 0.25 0 –0.1
–0.2 –0.5 –0.6 –0.7 –0.6 –0.5 –0.1 0 0.1 0.05}
5 0.1 1 35 –5:0.5:5 {–1 –0.8 –0.5 0 –0.25 –0.5 –0.6 –0.5 –0.25 0 0.1
0.2 0.5 0.6 0.7 0.6 0.5 0.1 0 –0.1 –0.05}
6 0.1 1 35 –1:0.1:1 {1 0.82 0.75 0.4 –0.1 –0.5 –0.6 –0.6 –0.4 0 0.3 0.5 0.
5
0.35 0.2 0.1 0.1 0.2 0.3 0.2 0.1 }
7 0.2 1 30 –2:0.2:2 {–1 –0.82 –0.75 –0.4 0.1 0.5 0.6 0.6 0.4 0 –0.3
–0.5 –0.5 –0.35 –0.2 –0.1 –0.1 –0.2 –0.3 –0.2 –0.1 }
8 0.1 1 251 –3:0.3:3 {2 1.64 1.5 0.8 –0.2 –1 –1.2 –1.3 –0.8 0 0.6 1
1.1 0.75 0.4 0.2 0.25 0.4 0.6 0.4 0.2 }
9 0.2 1 20 –4:0.4:4 {–2 –1.64 –1.5 –0.8 0.2 1 1.2 1.3 0.8 0 –0.6 1
–1.1 –0.75 –0.4 –0.2 –0.25 –0.4 –0.6 –0.4 –0.2 }
10 0.3 1 15 –5:0.5:5 {0 0.25 0.5 0.7 0.9 1 0.9 0.6 0.2 –0.1 –0.4
–0.7 –0.9 –1 –0.9 –0.75 –0.5 –0.4 –0.3 –0.2 –0.1}
 Номер     Значения    Значения                        Значения
варианта   параметра    вектора                     целевого вектора
            SPREAD       входа
   1        0.1 1 15   –4:0.4:4     {0 –0.25 –0.5 –0.7 –0.9 –1 –0.9 –0.6 –0.2 0.1 0.4
                                         0.7 0.9 1 0.9 0.75 0.5 0.4 0.3 0.2 0.1}
   2        0.2 1 20   –3:0.3:3          {0 0.5 1 1.4 1.8 2 1.8 1.2 0.4 –0.2 –0.8
                                    –1.4 –1.8 –2 –1.8 –1.5 –1.1 –0.8 –0.6 –0.35 –0.1}
   3        0.3 1 25   –2:0.2:2       {0 –0.5 –1 –1.4 –1.8 –2 –1.8 –1.2 –0.4 0.2 0.8
                                          1.4 1.8 2 1.8 1.5 1.1 0.8 0.6 0.35 0.1}
   4        0.2 1 30   –1:0.1:1          {1 0.8 0.5 0 0.25 0.5 0.6 0.5 0.25 0 –0.1
                                      –0.2 –0.5 –0.6 –0.7 –0.6 –0.5 –0.1 0 0.1 0.05}
   5        0.1 1 35   –5:0.5:5     {–1 –0.8 –0.5 0 –0.25 –0.5 –0.6 –0.5 –0.25 0 0.1
                                        0.2 0.5 0.6 0.7 0.6 0.5 0.1 0 –0.1 –0.05}
   6        0.1 1 35   –1:0.1:1   {1 0.82 0.75 0.4 –0.1 –0.5 –0.6 –0.6 –0.4 0 0.3 0.5 0.5
                                             0.35 0.2 0.1 0.1 0.2 0.3 0.2 0.1 }
   7        0.2 1 30   –2:0.2:2      {–1 –0.82 –0.75 –0.4 0.1 0.5 0.6 0.6 0.4 0 –0.3
                                   –0.5 –0.5 –0.35 –0.2 –0.1 –0.1 –0.2 –0.3 –0.2 –0.1 }
   8       0.1 1 251   –3:0.3:3       {2 1.64 1.5 0.8 –0.2 –1 –1.2 –1.3 –0.8 0 0.6 1
                                          1.1 0.75 0.4 0.2 0.25 0.4 0.6 0.4 0.2 }
   9        0.2 1 20   –4:0.4:4       {–2 –1.64 –1.5 –0.8 0.2 1 1.2 1.3 0.8 0 –0.6 1
                                     –1.1 –0.75 –0.4 –0.2 –0.25 –0.4 –0.6 –0.4 –0.2 }
  10        0.3 1 15   –5:0.5:5         {0 0.25 0.5 0.7 0.9 1 0.9 0.6 0.2 –0.1 –0.4
                                    –0.7 –0.9 –1 –0.9 –0.75 –0.5 –0.4 –0.3 –0.2 –0.1}




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