Using the ES algorithm to train RBF-network and implement regression and classification algorithms on the dataset
-
Updated
Aug 25, 2020 - Python
Using the ES algorithm to train RBF-network and implement regression and classification algorithms on the dataset
evolutionary-based approach in RBF neural network training
Kaggle Machine Learning Competition Project : To classify activities into one of the six activities performed by individuals by reading the inertial sensors data collected using Smartphone.
SPPU - BE ENTC (2015 Pattern) - Elective III
Using data mining techniques to predict if the organization is prone to bankruptcy using the data with 250 records and 6 nominal attributes per record. Machine learning techniques used: Linear and non-linear SVM, Decision Tree Classifier, Gaussian Naive Bayes.
Two pattern classification problem using Radial Basis Functions (RBF) Neural Networks, with center vectors selected via self-organizing map (SOM) neural networks.
Persian text simplification using lexical simplification
This repository describes the application of numerical Collocation method in Machine Learning as a Supervised learning algorithm
Add a description, image, and links to the rbf-classifier topic page so that developers can more easily learn about it.
To associate your repository with the rbf-classifier topic, visit your repo's landing page and select "manage topics."