Моделирование искусственных нейронных сетей в системе MATLAB. Часть 3. Радиальные базисные сети. Донской Д.А - 28 стр.

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4 {0 0.3 0.6 0.9 1.2 1.5 1.8 2.1} {–3 –2 1 0 1 –3 –1}
5 {–1.2 –0.8 –0.4 0 0.4 0.8 1.2} {0 3 –1 0 3 2 –1}
6 {–0.9 –0.6 –0.3 0 0.3 0.6 0.9} {3 2 –1 1 –1 2 1}
7 {–0.8 –0.5 –0.2 0.1 0.4 0.7 1} {–3 –2 1 –1 2 1 –1}
8 {–0.7 –0.4 –0.1 0.2 0.5 0.8 1.1} {0 –3 –1 2 0 3 1}
9 {–0.6 –0.4 –0.2 0 0.2 0.4 0.6} {1 3 –3 2 2 1 –1}
10 {–0.5 –0.3 –0.1 0.1 0.3 0.5 0.7} {–1 –3 –2 3 –2 2 2}
4       {0 0.3 0.6 0.9 1.2 1.5 1.8 2.1}   {–3 –2 1 0 1 –3 –1}
5       {–1.2 –0.8 –0.4 0 0.4 0.8 1.2}     {0 3 –1 0 3 2 –1}
6       {–0.9 –0.6 –0.3 0 0.3 0.6 0.9}     {3 2 –1 1 –1 2 1}
7       {–0.8 –0.5 –0.2 0.1 0.4 0.7 1}    {–3 –2 1 –1 2 1 –1}
8      {–0.7 –0.4 –0.1 0.2 0.5 0.8 1.1}    {0 –3 –1 2 0 3 1}
9       {–0.6 –0.4 –0.2 0 0.2 0.4 0.6}     {1 3 –3 2 2 1 –1}
10   {–0.5 –0.3 –0.1 0.1 0.3 0.5 0.7}     {–1 –3 –2 3 –2 2 2}




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