Sentence examples for based on multilayer perceptron from inspiring English sources

The registered spectra were mathematically treated following a linear (PLS-DA) approach and a non-linear one (ANN) based on multilayer perceptron models with different training functions.

One of the most common neural network models is based on multilayer perceptron (MLP).

The analytic optimisation of the proposed method is based on multilayer perceptron networks.

The neuromorphic structure of the networks is based on multilayer perceptron (MLP) networks.

Firstly, an artificial neural network method based on multilayer perceptron with unidirectional information flow is used.

In this version, J48, nearest neighbor, backpropagation based on multilayer perceptron, naive Bayes, and support vector machine classification algorithms are implemented.

The core of applications used ANN architectures, based on multilayer perceptrons, trained with back-propagation learning algorithm, as solutions to transducer characteristic interpolation.

An artificial neural network (ANN) based on multilayer perceptrons with back propagation algorithm was used to approximate and interpret the complex input/output relationship, essentially to understand the breakthrough times in EFF system.

In this section, detectors based on Multilayer Perceptrons (MLPs) are designed for three cases studies: detection of colored Gaussian signals in white Gaussian interference, detection of colored Gaussian signals in correlated Gaussian clutter plus white Gaussian noise, and detection of non-fluctuating targets in K-distributed interference[40, 41].

This paper gives the overview about existing data processing systems and prediction methods and then it describes a concrete design of a WPS with distributed data measuring points (stations), which are processed using a structure of neural networks based on multilayer perceptrons (MLP) with a combination of fuzzy logic.

In fact, the classification stage consists of the signal classification which can be based on multilayer feedforward perceptron networks (MLP) or on radial basis function networks (RBF) networks as well as the image classification which can be based on the same networks.