Моделирование искусственных нейронных сетей в системе MATLAB. Часть 3. Радиальные базисные сети. Донской Д.А - 32 стр.

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цель лабораторной работы;
массивы входных векторов P и целей T;
структурную схему нейронной сети;
текст и результаты работы программы, график;
выводы.
Номер
варианта
Значения
вектора входа
Значения целевого вектора
1 –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}
2 –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}
3 –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}
4 –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}
5 –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 }
6 –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 }
7 –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 }
8 –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 }
9 –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}
10 –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}
 –    цель лабораторной работы;
 –    массивы входных векторов P и целей T;
 –    структурную схему нейронной сети;
 –    текст и результаты работы программы, график;
 –    выводы.

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




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