Multilayer Perceptron
A regression tree multilayer perceptron hybrid strategy for the prediction of ore crushing plate lifetimes
... different multilayer perceptron (MLP) structures (the most promising combinations of chemical components) were trained and the most accurate models were ...
12
Saccadic points classification using Multilayer Perceptron and Randon Forest classifiers in EOG recording of patients with Ataxia SCA2
... Abstract. In this paper, we compare the performance of two different methods for the task of electrooculogram saccadic points classification in patients with Ataxia SCA2: Multilayer Perceptrons (MLP) and Random ...
10
Identificar cobertura vegetal de suelo clasificando píxeles en imágenes hiperespectrales con SVM (máquina de soporte vectorial)
... Abstract. The experiment was performed by classification 4 labels of vegetable ground cover implements hyperspectral images. This image takes 63 bands hyperspectral. The principal feature of the work, it use the pixel ...
7
Polynomial regression using a perceptron with axo-axonic connections
... Particle swarm optimization can be applied to solve many problems. One of them could be the training of a neural network architecture: Given a neural architecture, the problem is to find weights that minimize the mean ...
12
Signal processing algorithms for digital hearing aids
... a multilayer perceptron (a particular kind of neural network), which had to be properly designed for being constrained to the hardware requirements of the DSP used by our platform to carry out the ...5, ...
270
An artificial neural network model application for the estimation of thermal comfort conditions in mountainous regions, Greece
... the multilayer perceptron (MLP) was used for the estimation of THI values at the examined high altitude level (1334 and 1338 m in MG and MN, respectively) based on the temperature and the relative humidity ...
11
Modelado del precio del café colombiano en la bolsa de Nueva York usando redes neuronales artificiales
... tipo perceptron multicapa con dos neuronas en la capa oculta, que permite representar la dinámica que sigue el valor esperado de la serie de precios; mientras que la dinámica de los residuales es especificada ...
16
Fold distribution and multilayer properties, a case study from the Lurestan province of Iran
... The Zagros mountain range is a NW-SE trending seg- ment of the Alpine-Himalayan suture originated from the Late Cretaceous-Cenozoic convergence of the Arabian and the Eurasian plates, which led to the clo- sure of the ...
5
Revista Ingeniería Investigación y Tecnología | Facultad de Ingeniería UNAM
... Since gas turbines are very complex and potentially unreliable machines, the improvement of their monitoring sys- tems becomes an essential part. Considering this necessity, the present paper performs a gas turbine ...
12
Determinación de escenarios por sequía mediante análisis multivariado temporal usando redes neuronales en México
... Las sequías se presentan recurrentemente en cualquier parte del mundo, lo cual incluye a México y al Organismo Cuenca Pacífico Norte (OCPN), con fuertes impactos adversos en aspectos económicos, sociales y ambientales. ...
352
Structural, microstructural and electrical properties of vitrium doped barium titanate for multilayer CERAMIC CAPACITORS
... Multilayer ceramic capacitors (MLCCs) are one of the most important electric components used in most of the electronics areas. MLCCs present an economical volumetric efficiency for capacitance and high reliability ...
169
Mechanical and tribological properties enhancement of heat treated AISI 4340 steel by using a TiN/TiAlN multilayer coating system
... hardness of 54 Rockwell C (HRC, approximately 5.4 GPa) were utilized as substrate. TiN/TiAlN coatings with 70% aluminum and 4 µm total thickness were investigated as function of multilayer number and their ...
7
Reducción de la dimensionalidad de series temporales climáticas usando Deep Multi Layer Autoencoder
... In this work we propose a method based on autoencoder for the reduction of the di- mensionality of time series, which consists of the configuration of the number of layers and units. The method was compared with linear ...
78
Respuesta en frecuencia de un circuito equivalente para un sistema tipo piel
... We have developed the theoretical formalism for the representation of biological systems with suc- cessive layers in terms of RC circuits. This model was applied to the description of a real skin system; epidermis, ...
7
Influence of Tire Footprint Area and Pressure Distribution on Pavement Responses.pdf (2.787Mb)
... a multilayer program to compute asphalt pavement responses due to measured non-uniform tire-pavement contact stress and found tire pressure has signi fi cant effects on tensile strains at the bottom of the asphalt ...
16
Prediction of postpartum depression using multilayer perceptrons and pruning.
... forward multilayer perceptrons in order to predict PPD with high, well-balanced sensi- tivity and specificity during the 32 weeks after childbirth and using pruning methods to ob- tain simple ...
8
Hacia un diseño óptimo de la arquitectura Multilayer Feedforward
... Esta Tesis Doctoral se titula: “Hacia un diseño óptimo de la Arquitectura Multilayer Feedforward”. Como indica el título, se trata en ella de intentar optimizar algunos aspectos sobre el diseño de la red. Con la ...
489
Cap_ 2_9.pdf
... El Perceptron fue el primer modelo de RNA presentado a la comunidad científica por el psicólogo Frank Rosenblatt en ...del Perceptron es supremamente sencilla: en su entrada posee varias neuronas lineales ...
37
Biomimetic click assembled multilayer coatings exhibiting responsive properties
... Stimuli-responsive polymers are capable of changing their physico-chemical properties in a dynamic way, to respond to variations on the surrounding environment. These materials have gained increasingly importance for ...
55
Modelling derivation in defeasible logic programming with perceptron-based neural networks
... We now address the issue of how a propositional ODeLP program P = hΨ, ∆i can be modelled by a perceptron-based neural network. In this paper, we are going to restrict the defeasible rule base ∆ to sets where each ...
12