Generate possible results from training

Is there a way to train the brain and generate possible results instead of letting the brain analyse a certain input?

For example: “Give me 4 colors which match ‘orange’ with at least 80% accuracy”.

As pseudo-code:

var net = new NeuralNetwork(); //Create neural network

net.train([{input: {r:1, g:0.65, b:0},  output: {orange: 1}}, //This is orange
           {input: {r:0, g:0.54, b:0},  output: {green: 1}}, //This is green
           {input: {r:0.6, g:1, b:0.5}, output: {green: 1}}, //This is also green
           {input: {r:0.67, g:0, b:1},  output: {purple: 1}}]); //This is purple

var output = net.run({"orange": ">0.8", "results": 4}); //return 4 colors which match 'orange' with at least 80% accuracy

Pseudo-output:

[{r:1,    g:0.65, b:0},
 {r:0.98, g:0.55, b:0},
 {r:1,    g:0.55, b:0.2},
 {r:0.85, g:0.55, b:0}]

A real world example would be: “Tell me the first thing which comes to your mind when I say Internet”. You might say something like Tim Berners-Lee or Wikipedia.

Is something like that possible with BrainJS? Note: I also posted this question on StackOverflow.

[robertleeplummerjr]

I had a lot of fun on this. Please feel free to keep commenting open, closing to focus on priorities.

[robertleeplummerjr]

You’ll need either a natural language configuration of brain.js, like https://github.com/axa-group/nlp.js, or a LSTM network.