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"use strict";
let synaptic = require('synaptic');
let fs = require('fs');
let doc =
JSON.parse(
fs.readFileSync(
process.argv[process.argv.length - 1]
)
);
let data = doc["data"];
let max = doc["max"];
let trainingset = [];
for(let i = 0; i < (data.length - 10) ; i++) {
trainingset.push({
input: [
data[i+0]["v"], data[i+1]["v"],
data[i+2]["v"], data[i+3]["v"],
data[i+4]["v"], data[i+5]["v"],
data[i+6]["v"], data[i+7]["v"],
data[i+8]["v"], data[i+9]["v"]
],
output: [data[i+10]["v"]]
});
}
let trainingoptions = {
rate: .05,
iterations: 20000,
error: .001,
shuffle: true,
};
let net = new synaptic.Architect.Perceptron(10, 7, 3, 1);
let trainer = new synaptic.Trainer(net);
console.error(trainer.train(trainingset, trainingoptions));
let predicteddata = data.slice(-10);
for(let t = data.length ; t < (2 * data.length) ; t++) {
predicteddata.push({
t: t,
v: net.activate(predicteddata.slice(-10).map(x=>x.v))[0]
});
}
predicteddata.splice(0, 10);
data.forEach(x=>console.log(x.t + "," + (x.v * max)));
predicteddata.forEach(x=>console.log(x.t + "," + (x.v * max)));
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