Here we present another non-iterative approach, Feedforward Convolutional Conceptor Neural Network (FCCNN), for training feedforward networks on image classification tasks. Our work makes two major contributions: (1) a conceptor based classifier which is specific for non-temporal data; (2) a ...
A simple feedforward neural network for the PM10 forecasting: Comparison with a radial basis function network and a multivariate linear regression model. Water Air Soil Poll. 201(1-4), 365-377.Caselli M. & Trizio L. & de Gennaro G. & Ielpo P., "A Simple Feedforward Neural Network for...
When feedforward neural networks of multi-layer perceptron (MLP) type are used as black-box models of complex processes, a common problem is how to select relevant inputs from a large set of potential variables that affect the outputs to be modeled. If, furthermore, the observations of the ...
Genann is a minimal, well-tested library for training and using feedforward artificial neural networks (ANN) in C. Its primary focus is on being simple, fast, reliable, and hackable. It achieves this by providing only the necessary functions and little extra. ...
The network structures and the parameters of the activation function are important factors when developing neural network models. Feedforward neural networks are frequently used structures in modeling. There are effective learning algorithms for the parameters once the structures are set in the feed...
feedforwardinputfromthegeniculateandrecurrentconnectionsfromneighboring unitsinaMexicanhatprofile,describedbyshort-rangeexcitationandlong-range inhibition.Iftherecurrentconnectionsaresufficientlystrong,hotspotsofactivity (or‘bumps’)formperiodicallyacrossspace.Inahomogeneousnetwork,these ...
In this paper, a comparison study for phishing detection between two neural networks which are the feedforward neural network and the deep learning neural network is carried out. The result is empirically evaluated to determine which method performs better in phishing detection....
Feedforward Neural NetworkDeep Learning Neural NetworkPhishing attack is one of wide spread cybercrimes due to the advancement of the Internet. There are many forms of phishing attack and the most common one is through email. The attacker tries to pretend by sending email from an official ...
Technical note: A simple feedforward artificial neural network for high-temporal-resolution rain event detection using signal attenuation from commercial microwave linksdoi:10.5194/hess-28-5163-2024ARTIFICIAL neural networksMULTILAYER perceptronsRADAR meteorologySIGNAL detection...
The universal approximation property of feedforward neural networks (FNNs) is the basis for all FNNs applications. In almost all existing FNN approximation studies, it is always assumed that the activation function of the network satisfies certain conditions, such as sigmoid or bounded continuity. ...