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This release is 126 versions behind 0.166.0 — 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
4 months ago (0.121.0)
Package root>bench>Activate.ts
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import { Creature } from "../src/Creature.ts";
import { createBackPropagationConfig } from "../src/propagate/BackPropagation.ts";

/**
 * benchmark      time (avg)        iter/s             (min … max)       p75       p99      p995
 * --------------------------------------------------------------- -----------------------------
 * Activate      280.07 ms/iter           3.6  (274.06 ms … 293.4 ms) 280.81 ms 293.4 ms 293.4 ms
 */
const creature = Creature.fromJSON(
  JSON.parse(
    Deno.readTextFileSync("test/data/traced.json"),
  ),
);

creature.clearState();

const inputs = makeInputs(creature);

export function perform() {
  const config = createBackPropagationConfig({});
  for (let i = 0; i < 100; i++) {
    const input = inputs[i % inputs.length];
    creature.activateAndTrace(input);
    creature.propagate([i % 2], config);
  }
}

Deno.bench("Activate", () => {
  perform();
});

function makeInputs(creature: Creature) {
  const inputs: number[][] = [];

  for (let i = 100; i--;) {
    const data = [];
    for (let y = 0; y < creature.input; y++) {
      const v = Math.random() * 4 - 2;
      data.push(v);
    }
    inputs.push(data);
  }

  return inputs;
}