Published April 13, 2022
| Version v1
Publication
Simulation and Implementation of a Neural Network in a Multiagent System
Description
This paper presents the simulation and the implementation of a model
of a neural network applied to a multiagent system by using the Neuroph
framework. This tool enables several tests to be carried out and verify which
structure is the best structure of our neural network for a specific application. In
our case, we simulated the neural network for a sun-tracking control system in a
solar farm. Initial implementation shows good results in performance, thereby
providing an alternative to traditional solar-tracking systems.
Abstract
Junta de Andalucía P08-TIC-03862 (CARISMA)Additional details
Identifiers
- URL
- https://idus.us.es/handle//11441/132090
- URN
- urn:oai:idus.us.es:11441/132090
Origin repository
- Origin repository
- USE