Feed-forward neural networks

Lecture Artificial intelligence: Recurrent neural network. This lecture provides students with content including: feedforward neural network; recurrent neural network; language model - character level;... Please refer to the detailed content of the lecture!

16p codabach1016 03-05-2024 1 0   Download

Part 2 book "Introduction to engineering mathematics and analysis - Modeling physical systems using the language of mathematics" includes content: Introduction to partial differential equations, conservation laws, and constitutive equations; separation of variables (SOV); fourier transforms; laplace transforms; primer on feedforward neural networks - an analytical approach.

228p muasambanhan06 01-02-2024 3 0   Download

In this paper, a modified feedback error learning approach (called MFEL) is proposed for a nonlinear system. In MFEL, an inverse evolutionary neural (IEN) model that dynamically identifies offline all nonlinear features of the nonlinear system, provides the initial value of a feedforward compensator.

8p vijeff 01-12-2023 7 3   Download

Ebook "Neural networks - A comprehensive foundation" includes content: Introduction, learning processes; single layer perceptrons; multilayer perceptrons; radial basis function networks; support vector machines; committee machines; principal components analysis; self organizing maps; information theoretic models; stochastic machines and their approximates rooted in statistical mechanics; neurodynamic programming; temporal processing using feedforward networks; neurodynamics; dynamically driven recurrent networks.

823p haojiubujain07 20-09-2023 6 2   Download

This research applies the feedforward artificial neural network (ANN) with a backpropagation algorithm to predict the inflation rate of Vietnam for the year 2022 using a historical dataset from 2000 to 2021. The forecast shows a close similarity to the actual figures, implying that the built-up ANN model is efficient and applicable.

12p vistarlord 15-06-2023 6 2   Download

This paper presents an application of Multilayer Feed-forward Neural Networks (MLFN) for Dynamic Stability Assessment (DSA) with feature reduction techniques. Dynamic stability of the power system is first determined based on the generator relative rotor angles obtained from time domain simulations.

7p vidoctorstrange 06-05-2023 4 3   Download

This paper proposed a scheme combining both conventional P&O algorithm and a Feedforward compensator (P&O_FFC) adjusted by using FLC mechanism for improving the accuracy, and reducing oscillation in comparision with P&O or FLC applied in seperately.

9p viengland2711 23-07-2019 14 2   Download

Rule Extraction from Artificial Neural Networks includes The train problem, Motivations, Feedforward neural networks for classification, Rulle exttractition ffrom neurall nettworkks Examples, Different types of classification rules, RegressionRegression rulesrules, Hierarchical rules.

48p cocacola_10 08-12-2015 40 2   Download

The research of neural networks has experienced several ups and downs in the 20th century. The last resurgence is believed to be initiated by several seminal works of Hopfield and Tank in the 1980s, and this upsurge has persisted for three decades. The Hopfield neural networks, either discrete type or continuous type, are actually recurrent neural networks (RNNs). The hallmark of an RNN, in contrast to feedforward neural networks, is the existence of connections from posterior layer(s) to anterior layer(s) or connections among neurons in the same layer....

410p bi_bi1 11-07-2012 136 20   Download

This section illustrates some general concepts of artificial neural networks, their properties, mode of training, static training (feedforward) and dynamic training (recurrent), training data classification, supervised, semi-supervised and unsupervised training. Prof. Belic Igor’s chapter that deals with ANN application in modeling, illustrating two properties of ANN: universality and optimization. Prof.

302p bi_bi1 09-07-2012 111 28   Download

We wish to construct a system which possesses so-called associative memory. This is definable generally as a process by which an input, considered as a “key”, to a memory system is able to evoke, in a highly selective fashion, a specific response associated with that key, at the system output. The signalresponse association should be “robust”, that is, a “noisy” or “incomplete” input signal should none the less invoke the correct response—or at least an acceptable response. Such a system is also called a content addressable memory....

126p tuanthuvien 02-12-2011 134 26   Download

A Class of Normalised Algorithms for Online Training of Recurrent Neural Networks A normalised version of the real-time recurrent learning (RTRL) algorithm is introduced. This has been achieved via local linearisation of the RTRL around the current point in the state space of the network. Such an algorithm provides an adaptive learning rate normalised by the L2 norm of the gradient vector at the output neuron. The analysis is general and also covers simpler cases of feedforward networks and linear FIR filters...

12p doroxon 12-08-2010 89 15   Download

Data-Reusing Adaptive Learning Algorithms In this chapter, a class of data-reusing learning algorithms for recurrent neural networks is analysed. This is achieved starting from a case of feedforward neurons, through to the case of networks with feedback, trained with gradient descent learning algorithms. It is shown that the class of data-reusing algorithms outperforms the standard (a priori ) algorithms for nonlinear adaptive filtering in terms of the instantaneous prediction error.

14p doroxon 12-08-2010 95 9   Download

A hybrid neural fuzzy system is proposed to monitor both process mean and variance shifts simultaneously. One of the major components of the proposed system is composed of several feedforward neural networks that are trained off-line via simulation data. Fuzzy sets are also used to provide decision-making capability on uncertain neural network output. The hybrid control chart provides an alternative to

22p balanghuyen 13-01-2010 78 9   Download