GID

Time series forecasting error metrics

Time series forecasting error metrics
Error measures provide a way to quantify the quality of a forecasting algorithm (e.g., performance). We briefly introduce time series and the fundamental terms of forecasting. We will then introduce the most commonly used error measures and give some examples. We provide an example of how to use error metrics in a real-life forecasting scenario.

Genetic Algorithms & Island Models

Genetic Algorithms & Island Models
Genetic algorithms (GAs) are a family of optimization algorithms that can solve constrained and unconstrained optimization problems by mimicking biological evolution. In this post, we introduce the fundamental concepts of GAs and the Island Model, an extension of GAs.

Research Demos

Research Demos
Demo videos of past research projects, including self-organization of cortical maps and development of neural receptive fields of the somatosensory cortex.