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File ITL neural networks project
File LASCA Hydro-Wind project
File LASCA math functions project
Folder ITL neural networks
This folder includes the C++ project of neural networks trained with ITL criteria.
Folder LASCA code - hydro-wind coordination problem
This folder contains the code developed in C++ with the application of LASCA thecnique to the hydro-wind coordination problem. Two formulations of the problem ...
Folder LASCA code - optimizating benchmark functions
This folder includes the C++ project with the LASCA technique implemented for several optimization functions.: alpine, rosenbrock, sphere, shifted sphere, ...
Folder Application of autoassociative neural networks to solve large scale problems in power systems
This paper synthetizes the work conducted concerning the application of autoassociative neural networks (autoencoders) to solve large scale problems in power ...
Folder CPLEX tutorial
A report with a simple example on how to use IBM CPLEX with the excel interface.
Folder Wind – Hydro Coordination Problem solved with linear programming
This report includes the theoretical formulation of an attempt to solve the wind-hydro coordination problem using linear programming. However, this is not a ...
Folder Wind-Hydro Coordination Problem
This working report includes a preliminary approach to the wind-hydro coordination problem. It addresses the theory of the problem, and some results obtained ...
Folder Breakers’ state estimation using autoassociative neural networks
This work addresses the breakers’ state estimation in power systems. A classification methodology is applied, which considers the competition of two ...
Folder Training Neural Networks Theory of Practical Issues
Through the work conducted concerning the implementation of neural networks, some theoretical issues emerged. This work arises from the need to explore these ...
Folder Comparative Analysis between ITL and BackPropagation neural networks to power Systems Applications
This report includes the results obtained by applying the ITL and PROP networks to different case studies.
Folder Theoretical Concepts of BackPropagation Neural Networks
This report summarizes the theory applied to the PROP neural network developed. The pseudo-code is presented, alongside with the main functions developed.
Folder On the equivalence of maximizing entropy and mutual information
This study is conducted under the context of unsupervised training of neural networks with two layers, using the concepts of information theory to perform the ...
Folder Theoretical Concepts of ITL Neural Networks
This report summarizes the theory applied to the ITL neural networks developed. The pseudo-code is presented, alongside with the main functions developed.
Folder Analysis using descriptive statistics on the data used for the ITL networks and on the data used in the Topology problem (Power system)
The training of neural networks must consider three datasets: train, test and validation. For each experiment, the three datasets must belong to the same ...