Which two machine-learning approaches does the playground use for TSP?

Conditions

• The context is the Machine Learning Playground TSP demo.
• The approaches are implemented as interactive web pages.

Reasoning, step by step

1. Identify the first approach: genetic algorithm.
2. Identify the second approach: elastic neural network plus self-organization map.
3. Note that the video focuses on demonstrating the genetic algorithm first.

Example

The narrator says two machine learning approaches were implemented: one uses the genetic algorithm, and the other is based on an elastic neural network and self-organization map.

Common misconceptions

• Thinking that only one method is available in the playground.
• Confusing the elastic neural network with a standard feedforward neural network without the self-organization aspect.

Watch the explanation

Explore next

• What does greedy crossover do in the genetic-algorithm TSP demo?
• How large should the genetic-algorithm population be according to the video?
• Why does the video say population size 50 does not get a good solution?