Biologically Inspired Computing

Algorithms related to biologically inspired computing, optimisation and search implemented for educational purpose in coherence with course INF3490.

Implemented Algorithms/Solutions

Multi-layer Perceptron:

Supervised learning with a multilayer perceptron (MLP). In order to control a robotic prosthetic hand, Prosthetic hand controllers (PHCs) reads the electromyographic signals generated by contracting muscles in the under arm. The idea is that we can, through supervised learning, get a PHC to learn which hand movement the user of a robotic prosthetic hand wants toperform.

• mlp_oo_neuron ✅
  • A crude and complicated implementation of an MLP as a challenge. OOP with a neuron class and no matrix functions or machine learning modules.
• mlp_2d_list 🚧
  • A somewhat less complicated, but crude implementation of an MLP. 2D list and no matrix functions or machine learning modules.
• mlp_numpy ✅
  • Simple two-layer MLP using numpy and matrix operations.