Bol. Ciênc. Geod. vol.23 número1
Texto
Imagem
Documentos relacionados
This is where the neural network comes into play: The neural network is now facilitated to the workings of the function f in (14) to obtain the predictions y ˆ N .Now
Unsupervised learning is a machine learning technique that sets parameters of an artificial neural network based on given data and a cost function which is to be
The proposed complex valued radial basis function (RBF) neural network with phase transmittance (PTRBFNN) outperforms the classical complex valued RBF neural network (RBFNN)
Machine Learning; Logistic Regression; Decision Tree CART; Artificial Neural Network; Multilayer Perceptron; Backpropagation learning algorithm; Support Vector
In this paper, an RBF neural network was used as a classifier in the face and fingerprint recognition system in which the inputs to the neural network are
This paper presents the application of Radial Basis Function Neural Network (RBFNN) for vulnerability assessment of power system incorporating a new proposed
Likewise, the most popular MLP artificial neural networks, support vector machine (SVM) and radial basis function neural network (RBFNN), also represent supervised learning methods
A mulit-layer artificial neural network, with a backpropagation training algorithm and 11 neurons in the input layer, was used.. In this type of network, network inputs are