There are 0 repository under delta-learning-rule topic.
Lab experiments of Soft Computing Techniques
2017 Summer School on the Machine Learning in the Molecular Sciences. This project aims to help you understand some basic machine learning models including neural network optimization plan, random forest, parameter learning, incremental learning paradigm, clustering and decision tree, etc. based on kernel regression and dimensionality reduction, feature selection and clustering technology.
Delta-learning-rule
This repository includes the study of single-layer neural networks for two classes or more classes using perceptron and delta learning algorithms.
Classification was made in 2D space by applying multilayer and multicategory learning rules.