[PDF] Top 20 Las representaciones de estudiantes universitarios: marco descriptivo o explicativo
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An Adaptive Controller using Radial Basis Function Neural Network with Reinforcement Learning
... strategy using reinforcement learning is given to deal with conventional tracking control ...Actor-Critic learning is used to tune PID parameters in an adaptive way to take advantage of ... See full document
6
Adaptive fuzzy sliding mode and indirect radial-basis-function neural network controller for trajectory tracking control of a car-like robot
... two adaptive controllers have been proposed for tracking the trajectory of a car-like ...first controller includes an indirect radial-basis-function neural network whose ... See full document
9
Active Disturbance Rejection Control for a Class of Non affine Nonlinear Systems via Neural Networks
... rejection controller based on radial basis function (RBF) neural network is proposed for a class of non-affine nonlinear systems in this ...RBF neural network is ... See full document
74
Design of radial basis function neural network controller for BLDC motor control system
... PID controller is difficult to meet the performance requirements of BLDC motor, this paper proposed a control strategy of RBF neural network ...RBF neural network PID controller ... See full document
8
Learning enhancement of radial basis function neural network with harmony search algorithm
... of radial bases function as an alternative of ANN was first perceived late 80’s, although their related counterpart – pattern recognition technique – existed long ago (Bors, ...RBF Neural ... See full document
182
DPCA does this task by extracting
... pruning radial basis function (GAP-RBF) neural network introduction in [8] is modified to enable the on-line estimation of the unknown ...efficient learning algorithm for the ... See full document
84
Rainfall prediction using Machine Learning Techniques
... as Adaptive Neuro-Fuzzy Inference System (ANFIS), ARIMA and SLIQ Decision for the forecast of ...Tree, Neural Networks, and Fuzzy Logic for the use of rainfall ...machine learning algorithms like ... See full document
106
CLASSIFICATION OF DISEASED PLANT LEAVES USING NEURAL NETWORK ALGORITHMS
... are using excessive pesticides for the plant disease ...types using various neural network ...leaves using Feed Forward Neural Network (FFNN), Learning Vector ... See full document
10
Diagnosis of Chronic Kidney Disease Using Machine Learning Algorithms
... renal function over a period of several months or ...kidney function failure by applying the classification algorithm on the test result obtained from the patient medical ...accuracy using ... See full document
20
Denosing CT/MRI Images Restoration using Radial Basis Function Neural Network
... and the PWLS (Penalized Weighted Least Squares). We propose a regulated machine learning approach for boosting existing sign and image recuperation techniques. It depends on a nearby nonlinear combination of a few ... See full document
7
Adaptive sliding mode control with radial basis function neural network for time dependent disturbances and uncertainties
... A Radial-Basis Function Network (RBFN) is a branch of neural network which performs good to control the dynamics ...The Radial-Basis Function Network ... See full document
6
Radial basis function neural network learning with modified backpropagation algorithm
... Artificial Neural Network (ANN) was developed as a parallel distributed system that is inspired by the biological learning process of the human ...of learning to solve problems through ... See full document
25
Designinga Neuro-Sliding Mode Controller for Networked Control Systems with Packet Dropout
... mode controller is utilized to overcome the adverse influences of stochastic packet dropouts in networked control ...switching function used in the sliding mode control design, an improved genetic algorithm ... See full document
35
Dynamic Threshold Selection for Sequential Learning in Radial Basis Function Networks
... sequential learning algorithm for self-adaptive resource allocation network classifier ...the network architecture, and learn the network ...decision function accurately, and ... See full document
5
Learning Methods of Radial Basis Function Neural Network
... samples, learning algorithm of RBF network should address the following issues: (1) structure design, that is how to determine the number of hidden nodes of network; (2) determine the hidden center ... See full document
17
Applying ANN, ANFIS, and LSSVM Models for Estimation of Acid Solvent Solubility in Supercritical CO
... as radial basis function artificial neural network, Multi-layer Perceptron artificial neural network, Least squares support vector machine and adaptive neuro-fuzzy ... See full document
12
Face Recognition using Rectangular Feature
... a neural network. This neural network consists of three layers, 10 neurons in the first layer, 20 neurons in the hidden layer and one neuron in the output ...the neural network ... See full document
5
Adaptive Control of a DC Motor Using Neural Network Sliding Mode Control
... LINEAR NEURAL NETWORK Adaptive linear networks are very simple artificial neural network that contains just one neuron with a few inputs and additional unit ...Linear function is ... See full document
74
Forecasting Muar river water quality using radial basis function neural network
... modeled using mathematical relationships; however, most of the times these models require a lot of information from various fields of knowledge that formulating a realistic model is difficult and running its ... See full document
9
A NOVEL DIFFERENTIAL PROTECTION FOR POWER TRANSFORMER USING RADIAL BASIS FUNCTION NEURAL NETWORK
... Radial Basis Function Network (RBFN) is especial type of feed forward neural network with an input layer used as sensing unit containing n neurons through which input vector x e ... See full document
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