The well-known backpropagation learning algorithm is implemented in a field-
programmable gate array (FPGA) board and a microcontroller, focusing in obtaining efficient …

Competitive majority network trained by error correction (C-Mantec), a recently proposed
constructive neural network algorithm that generates very compact architectures with good …

The techniques currently developed for updating software in sensor nodes located in
changing environments require usually the use of reprogramming procedures, which clearly …

This paper is mainly concerned with the problem for the robustly exponential stability in
mean square moment of uncertain neutral stochastic neural networks with interval time …

This paper presents a new technique of fault detection and isolation (FDI). This technique is
based on Neural Networks fault-free and Faulty behaviors Models (NNF Ms). NNFMs are …

C-Mantec neural network constructive algorithm Ortega (C-Mantec neural network algorithm
implementation on MATLAB. https://github. com/IvanGGomez/CmantecPaco, 2015) creates …

Las redes de neuronas artificiales son un paradigma de aprendizaje y procesamiento
automático inspirado en el funcionamiento del sistema nervioso, se emplean en toda tipo de …

The main consequences of corrosion are the costs derived from both the maintenance tasks
as from the public safety protection. In this sense, artificial intelligence models are used to …

Through the research on the existing C-MANTEC neural network and PID control
technology, this paper presents an improved C-MANTEC algorithm based on PID control …

Data discretization is an important processing step for several computational methods that
work only with binary input data. In this work a method for discretize continuous data based …