CODEWITHSUNDEEP
javascriptecmascript-6neural-networkbrain.js
Norfeldt
Norfeldt

Reputation: 9678

brain.js correct training of the neuralNetwork

I must clearly have misunderstood something in the brain.js instructions on training

I played around with this repl.it code 

const brain = require('brain.js');

const network = new brain.NeuralNetwork();

network.train([
    { input: { doseA: 0 }, output: { indicatorA: 0 } },
    { input: { doseA: 0.1 }, output: { indicatorA: 0.02 } },
    { input: { doseA: 0.2 }, output: { indicatorA: 0.04 } },
    { input: { doseA: 0.3 }, output: { indicatorA: 0.06 } },
    { input: { doseA: 0.4 }, output: { indicatorA: 0.08 } },
    { input: { doseA: 0.5 }, output: { indicatorA: 0.10 } },
    { input: { doseA: 0.6 }, output: { indicatorA: 0.12 } },
    { input: { doseA: 0.7 }, output: { indicatorA: 0.14 } },
]);

const result = network.run({ doseA: 0.35 });

console.log(result);

>> { indicatorA: 0.12165333330631256 }
    => undefined

was expecting the results to be { indicatorA: 0.07 }

What am I doing wrong?

Upvotes: 4

Views: 1524

Answers (1)

xrisk
xrisk

Reputation: 3898

Increasing the number of iterations and decreasing the error threshold worked for me:

const brain = require('brain.js');

const network = new brain.NeuralNetwork();

network.train([
    { input: { doseA: 0 }, output: { indicatorA: 0 } },
    { input: { doseA: 0.1 }, output: { indicatorA: 0.02 } },
    { input: { doseA: 0.2 }, output: { indicatorA: 0.04 } },
    { input: { doseA: 0.3 }, output: { indicatorA: 0.06 } },
    { input: { doseA: 0.4 }, output: { indicatorA: 0.08 } },
    { input: { doseA: 0.5 }, output: { indicatorA: 0.10 } },
    { input: { doseA: 0.6 }, output: { indicatorA: 0.12 } },
    { input: { doseA: 0.7 }, output: { indicatorA: 0.14 } },
], {
  log: true,
  iterations: 1e6,
  errorThresh: 0.00001
});

const result = network.run({ doseA: 0.35 });

console.log(result);
//

Result : { indicatorA: 0.0693388432264328 }

Upvotes: 4

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