Este repositorio de código fuente se ha creado para alojar los algoritmos y códigos desarrollados por Yan Bello como parte de su trabajo de investigación "Yielding Association Networks: Un sistema para mejorar la localización semántica" en el Máster en Inteligencia Artificial (UNIR, 2018-2019).
El código se ha desarrollado en Python, usando el entorno de Google Colab y está organizado en los siguientes apartados:
- 01 General data preparations
- 02 Define and train SVM (Linear & RBF) and KNN models
- 03 Define and train Neural Network models
- 04 Cross testing and analysis of the models
- 05 Yielding Associations Network & Context Filters
- 06 Support functions: Laser_print.py & Room_teller.py
This repository of source code has been created to host the algorithms and codes developed by Yan Bello as part of his research work "Yielding Association Networks: A system to improve semantic localization" in the Master in Artificial Intelligence (UNIR, 2018-2019).
The code has been developed in Python, using the Google Colab environment and is organized in the following sections:
- 01 General data preparations
- 02 Define and train SVM (Linear & RBF) and KNN models
- 03 Define and train Neural Network models
- 04 Cross testing and analysis of the models
- 05 Yielding Associations Network & Context Filters
- 06 Support functions: Laser_print.py & Room_teller.py