Моделирование искусственных нейронных сетей в системе MATLAB. Часть 3. Радиальные базисные сети. Донской Д.А - 23 стр.

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23
Номер
варианта
Значения
вектора входа
Значения
целевого вектора
1 –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 }
2 –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 }
3 –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 }
4 –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 }
5 –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}
6 –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}
7 –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}
8 –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}
9 –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}
10 –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} 
 Номер       Значения                         Значения
варианта   вектора входа                   целевого вектора

   1         –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 }
   2         –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 }
   3         –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 }
   4         –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 }
   5         –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}
   6         –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}
   7         –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}
   8         –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}
   9         –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}
   10        –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}




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