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discrete time neural network

Neimark-Sacker Bifurcation For A Discrete-Time Neural Network Model With Multiple Delays

Neimark-Sacker Bifurcation For A Discrete-Time Neural Network Model With Multiple Delays

... a discrete-time neural network model with multiple ...for discrete time system developed by Kuznetsov, we derive the explicit formula for determining the direction of ...

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Symmetry discrete time delayed neural network

Symmetry discrete time delayed neural network

... In this paper, we consider a three-dimensional discrete neural network model with delay. The characteristic equation of the linearized system at the zero solution is a polynomial equation involving ...

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Chaotic Behavior of a Class of Neural Network with Discrete Delays

Chaotic Behavior of a Class of Neural Network with Discrete Delays

... delayed neural network models considering neuron gain (the maximum slope of the sig- moidal activation function) as ...ous time network oscillates as the delay crosses a critical ...BAM ...

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Time Series Modeling of River Flow Using Wavelet Neural Networks

Time Series Modeling of River Flow Using Wavelet Neural Networks

... runoff time-series ...layer neural net- work, the idea of combining both wavelet and neural net- work has resulted recently in formulation of wavelet neu- ral network, which has been used in ...

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Emotion Classification from EEG Signals Using Time Frequency DWT Features and ANN

Emotion Classification from EEG Signals Using Time Frequency DWT Features and ANN

... of time-frequency and wavelet transform features for emotion recognition via EEG ...two time-domain features, two frequen- cy-domain features, as well as discrete wavelet transform coefficients have ...

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Neural Network for Heterogeneous Annotations

Neural Network for Heterogeneous Annotations

... on discrete models, leveraging stack- ing and multi-view learning to address the ...ral network models, building a neural network counterpart to discrete stacking and multi- view ...

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DISCRETE WAVELET TRANSFORM AND S-TRANSFORM BASED TIME SERIES DATA MINING USING MULTILAYER PERCEPTRON NEURAL NETWORK

DISCRETE WAVELET TRANSFORM AND S-TRANSFORM BASED TIME SERIES DATA MINING USING MULTILAYER PERCEPTRON NEURAL NETWORK

... The network is trained in batch mode with a total of 300 training vectors representing the ten different ...forward network is trained for 1000, 1500, and 2000 epochs with the goal set at 1% mean square ...

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Transmission lines fault detection using 
		Discrete Wavelet Transform and artificial neural network algorithm

Transmission lines fault detection using Discrete Wavelet Transform and artificial neural network algorithm

... propagation neural network set of rules successfully for category and detection of faults on a three-phase transmission ...propagation neural network set of rules for extraordinary running ...

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Bifurcation Analysis for a Two Dimensional Discrete Time Hopfield Neural Network with Delays

Bifurcation Analysis for a Two Dimensional Discrete Time Hopfield Neural Network with Delays

... In this section, we will give an algorithm to study the direction and the stability of the Neimark-Scaker bifurcation by using the normal form method and the center manifold theory for discrete-time system ...

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Online Full Text

Online Full Text

... a neural network-based sliding-mode controller design approach with decoupled method is proposed for a class of nonlinear discrete-time uncertain multi-input- multi-output (MIMO) ...The ...

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Data Authentication Based on Discrete Random Convolutional Neural Network

Data Authentication Based on Discrete Random Convolutional Neural Network

... a discrete random convolution kernel of ...select discrete receiving antennas, so that the convolution neural network can obtain enough sample features in the dimension of receiving ...running ...

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Robust Sliding Mode Control for Nonlinear Discrete Time Delayed Systems Based on Neural Network

Robust Sliding Mode Control for Nonlinear Discrete Time Delayed Systems Based on Neural Network

... from neural network. Neural network appears a po- werful tool for nonlinear control problems ...Chebyshev Neural Network is used to estimate the unknown nonlinearity and linear ...

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AN EFFICIENT SUPER PEER SELECTION ALGORITHM FOR PEER TO PEER (P2P) LIVE 
STREAMING NETWORK

AN EFFICIENT SUPER PEER SELECTION ALGORITHM FOR PEER TO PEER (P2P) LIVE STREAMING NETWORK

... within discrete time has been investigated on marine cylinder pipe risers which represented by using nonlinear neuron identification models namely NARX and ...on Neural Network which didn’t ...

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Research of adaptive control algorithm research based on rough set and implementation

Research of adaptive control algorithm research based on rough set and implementation

... adaptive neural network algorithm has strong compatibility, some noise data, not including related function and reduce the input dimension, a fast learning process, uncertainty processing and force ...

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Neural Network PID Algorithm for a Class of Discrete-Time Nonlinear Systems

Neural Network PID Algorithm for a Class of Discrete-Time Nonlinear Systems

... continuous time systems can not be directly applied to the discrete time ...for discrete-time nonlinear ...for discrete time sys- tems are gradually increasing, and ...

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Stabilization of Unknown Nonlinear Discrete Time Delay Systems Based on Neural Network

Stabilization of Unknown Nonlinear Discrete Time Delay Systems Based on Neural Network

... Artificial neural networks (ANNs) emerged as powerful learning technique to perform complex tasks in highly nonlinear dynamic ...This network represents a function of interest by using members of family of ...

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Neural Network Adaptive Control for Discrete Time Nonlinear Nonnegative Dynamical Systems

Neural Network Adaptive Control for Discrete Time Nonlinear Nonnegative Dynamical Systems

... In this paper, we extend the results of 2 to develop a neuroadaptive control framework for discrete-time nonlinear uncertain nonnegative and compartmental systems. The proposed framework is Lyapunov-based ...

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Online Full Text

Online Full Text

... A discrete neural network with one neuron and a time de- lay is investigated in Section ...delayed discrete neural network with two ...

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A Unique Approach to Epilepsy Classification from EEG Signals Using Dimensionality Reduction and Neural Networks

A Unique Approach to Epilepsy Classification from EEG Signals Using Dimensionality Reduction and Neural Networks

... This network does not require a training procedure which is iterative in nature. It is always very consistent in its attributes. For the estimation of the continuous variables, GRNN can be used easily. The ...

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Scaly Neural Networks for Speech Recognition Using DTW and Time Alignment Algorithms

Scaly Neural Networks for Speech Recognition Using DTW and Time Alignment Algorithms

... of network tends to be decided on a trial and error basis and the designers own ...connected network and then gradually Prune ...the network architecture on prior knowledge of the structure of the ...

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