65 lines
646 B
JavaScript
65 lines
646 B
JavaScript
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// MLP Function Approximation f(x)=y=x/2^3-5
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var x = [
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0,
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1,
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2,
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3,
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4,
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5,
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6,
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7,
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8,
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9,
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10,
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11,
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12,
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13,
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14,
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15,
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16,
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17,
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18,
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19
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];
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x=ml.stats.utils.wrap(x);
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// y=Math.pow(x/2,3)-5
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var y = [
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-5,
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-4.875,
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-4,
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-1.625,
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3,
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10.625,
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22,
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37.875,
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59,
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86.125,
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120,
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161.375,
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211,
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269.625,
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338,
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416.875,
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507,
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609.125,
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724,
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852.375
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];
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var model = ml.learn({
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algorithm : ml.ML.MLP,
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x : x,
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y : y,
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normalize:true,
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regression: true,
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epochs : 1000000,
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hidden_layers : [3,4]
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});
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print(model)
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print(merge(ml.stats.utils.wrap(ml.predict(model,x)),y,'c'));
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