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This release is 136 versions behind 0.168.1 — the latest version of @stsoftware/neat-ai. Jump to latest

@stsoftware/neat-ai@0.121.0
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stSoftwareAU/NEAT-AI

NEAT Neural Network. This project is a unique implementation of a neural network based on the NEAT (NeuroEvolution of Augmenting Topologies) algorithm, written in DenoJS using TypeScript.

This package works with Deno
This package works with Deno
JSR Score
94%
Published
5 months ago (0.121.0)
Package root>test>Ratios.ts
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import { assert } from "jsr:@std/assert@^1.0.8";
import type { NeatOptions } from "../src/config/NeatOptions.ts";
import { Creature } from "../src/Creature.ts";

((globalThis as unknown) as { DEBUG: boolean }).DEBUG = true;

Deno.test("hypotenuse", async () => {
  const ts = [];
  for (let i = 100; i--;) {
    for (let j = 100; j--;) {
      if (i == 50) continue;
      const item = {
        input: [i, j],
        output: [Math.sqrt(i * i + j * j)],
      };

      ts.push(item);
    }
  }

  const options: NeatOptions = {
    iterations: 100,
    targetError: 0.002,
    log: 50,
    elitism: 3,
    enableRepetitiveTraining: true,
  };

  let errorPercent = 0;
  let answer = 0;
  for (let attempts = 0; attempts < 240; attempts++) {
    const network = new Creature(2, 1, {
      layers: [
        { count: 2 },
      ],
    });

    await network.evolveDataSet(ts, options);

    const check = new Float32Array([50, 60]);
    answer = network.activate(check)[0];

    errorPercent = Math.round((1 - answer / 78.1) * 100);

    if (Math.abs(errorPercent) < 10) break;
  }

  assert(
    Math.abs(errorPercent) <= 10,
    "Correct answer is ~78.1 but was: " + answer + " ( " + errorPercent + "% )",
  );
});