PSO-optimized modular neural network trained by OWO-HWO algorithm for fault location in analog circuits [PDF]
Neural Computing and Applications, 2012 Fault diagnosis of analog circuits is a key problem in the theory of circuit networks and has been investigated by many researchers in recent decades. In this paper, an active filter circuit is used as the circuit under test (CUT) and is simulated in both fault-free and faulty conditions.
Mansour Sheikhan
exaly +3 more sources
Redes Neuronales Artificiales (RNA) aplicadas en la prediccion de caudales para intervalos de tiempo horarios [PDF]
Revista Tecnológica, 2014 La aplicación de modelos matemáticos en el manejo de cuencas hidrográficas tiene requerimientos exigentes de información y en su mayoría no han sido desarrollados para ser aplicados en regiones de montaña.
Jaime Eduardo Veintimilla +1 more
doaj +9 more sources
Artificial neural networks applied to flow prediction: A use case for the Tomebamba river [PDF]
, 2016 The main aim of this research is to create a model based on Artificial Neural Networks (ANN) that allows predicting the flow in Tomebamba river, at real time and in a specific day of a year.
Cisneros Espinosa, Felipe Eduardo francisco +2 more
core +3 more sources
Biomarker Identification for Prostate Cancer Using an Efficient Feature Selection Algorithm [PDF]
, 2008 In recent years, there has been an increased interest in using protein mass spectrometry to identify biomarkers that discriminate diseased from healthy individuals.
Mantena, Vamsi Krishnam Raju
core +2 more sources
Combining Molecular and Imaging Biomarkers to Enhance MALDI Biomarker Analysis [PDF]
, 2010 This thesis presents a three-step method to predict prostate cancer (PCa) regions on biopsy tissue samples based on high confident, low resolution PCa regions marked by a pathologist.
Vadlamudi, Ayyappa Chowdary
core +2 more sources
Hybrid Committee Classifier for a Computerized Colonic Polyp Detection System [PDF]
, 2006 We present a hybrid committee classifier for computer-aided detection (CAD) of colonic polyps in CT colonography (CTC). The classifier involved an ensemble of support vector machines (SVM) and neural networks (NN) for classification, a progressive search
Hara, Amy K. +6 more
core +2 more sources
Predicción de caudales en la cuenca del río Chalpi Norte mediante la aplicación de redes neuronales [PDF]
, 2020 El presente trabajo de titulación pretende estimar los caudales diarios que desemboca la microcuenca de Chalpi Norte aguas abajo a través de la selección del modelo óptimo mediante redes neuronales artificiales.
Villenas Quinapallo, Lennin Daniel
core
Reaction Mechanism of the Enzymatic Chlorination of Amino Compounds Catalyzed by the Myeloperoxidase-Hydrogen Peroxide-Chloride Ion System [PDF]
, 2020 Programa Oficial de Doutoramento en Química Ambiental e Fundamental. 5031V01[Abstract] Myeloperoxidase is a key enzyme of the immune system, quite abundant in neutrophils.
Rodríguez Ramos, Daniel
core +1 more source
MULTILAYER PERCEPTRON WITH ADAPTIVE ACTIVATION FUNCTIONS [PDF]
, 2016 A Multilayer perceptron typically has a fixed nonlinear activation function for each hidden unit. In this thesis, an adaptive activation function for individual hidden unit is designed, where the network learns these activation functions at every ...
Rane, Chinmay Appa
core +1 more source
Automated multistep classifier sizing and training for deep learner [PDF]
, 2017 Training algorithms for deep learning have recently been proposed with notable success, beating the start-of-the-art in certain areas like audio, speech and language processing. The key role is played by learning multiple levels of abstractions in a deep
Tyagi, Kanishka
core +1 more source