Recurrent neural network modeling of nearshore sandbar behavior
Keywords: شبکه های عصبی راجعه; Sandbar; Recurrent neural networks; Time-series modeling; ARX; NARX; Nonlinear
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Delay-dependent stability for uncertain stochastic neural networks with time-varying delay
Keywords: شبکه های عصبی راجعه; Recurrent neural networks; Stochastic systems; Uncertain systems; Time-varying delay; Robust stability
Global output convergence of recurrent neural networks with distributed delays
Keywords: شبکه های عصبی راجعه; Global output convergence; Recurrent neural networks; Distributed delays; Time-varying input; M-matrix
Fading memory and time series prediction in recurrent networks with different forms of plasticity
Keywords: شبکه های عصبی راجعه; Recurrent neural networks; Time series; Intrinsic plasticity; Spike timing dependent plasticity
Exponential state estimation for recurrent neural networks with distributed delays
Keywords: شبکه های عصبی راجعه; State estimator; Recurrent neural networks; Exponential stability; Distributed delay; Linear matrix inequality
Modeling of gene regulatory networks with hybrid differential evolution and particle swarm optimization
Keywords: شبکه های عصبی راجعه; Differential evolution; Particle swarm optimization; Genetic regulatory networks; Recurrent neural networks; Time series gene expression data
Design of exponential state estimators for neural networks with mixed time delays
Keywords: شبکه های عصبی راجعه; State estimator; Recurrent neural networks; Discrete and distributed delays; Lyapunov-Krasovskii functional; Linear matrix inequality;
Time series prediction with recurrent neural networks trained by a hybrid PSO–EA algorithm
Keywords: شبکه های عصبی راجعه; Particle swarm optimization; Evolutionary algorithm; Recurrent neural networks; Time series prediction
Merging multiple precipitation sources for flash flood forecasting
Keywords: شبکه های عصبی راجعه; Recurrent neural networks; Satellite-derived precipitation; Merged precipitation; Bias adjustment; Flood forecasting
A novel approach based on recurrent neural networks applied to nonlinear systems optimization
Keywords: شبکه های عصبی راجعه; Nonlinear optimization problems; Recurrent neural networks; Hopfield networks; Nonlinear programming
Generalized locally recurrent probabilistic neural networks with application to text-independent speaker verification
Keywords: شبکه های عصبی راجعه; Recurrent neural networks; Hybrid architectures; Speaker verification
Optimization and applications of echo state networks with leaky- integrator neurons
Keywords: شبکه های عصبی راجعه; Recurrent neural networks; Pattern generation; Speaker classification
Two-days ahead prediction of daily maximum concentrations of SO2, O3, PM10, NO2, CO in the urban area of Palermo, Italy
Keywords: شبکه های عصبی راجعه; Recurrent neural networks; Neural based forecasting models; Automatic pollutant management systems
Stability in static delayed neural networks: A nonlinear measure approach
Keywords: شبکه های عصبی راجعه; Exponential stability; Recurrent neural networks; Time delay; Nonlinear measure; Lyapunov functional
Predictable non-linearities in U.S. inflation
Keywords: شبکه های عصبی راجعه; C45; C52; C53; E37; Inflation forecasting; Markov switching models; Recurrent neural networks;
Neural prediction of hydrocarbon degradation profiles developed in a biopile
Keywords: شبکه های عصبی راجعه; Bioremediation; Recurrent neural networks; TPH degradation profiles; Biopiles
Exponential stability of delayed recurrent neural networks with Markovian jumping parameters
Keywords: شبکه های عصبی راجعه; Recurrent neural networks; Markovian jumping parameters; Time delays; Stochastic systems; Global exponential stability in the mean square; Linear matrix inequality
New results on global exponential stability of recurrent neural networks with time-varying delays
Keywords: شبکه های عصبی راجعه; Exponential stability; Linear matrix inequality; Recurrent neural networks; Time-varying delays
Global exponential stability of recurrent neural networks with time-varying delays in the presence of strong external stimuli
Keywords: شبکه های عصبی راجعه; Recurrent neural networks; Time-varying; Exponential stability; Strong external stimuli
A recurrent neural network classifier for Doppler ultrasound blood flow signals
Keywords: شبکه های عصبی راجعه; Recurrent neural networks; Levenberg–Marquardt algorithm; Signal classification; Automatic diagnosis; Discrete wavelet transform; Doppler signal; Ophthalmic artery; Internal carotid artery
A procedure to enhance identification of recurrent neural networks for simulating air–fuel ratio dynamics in SI engines
Keywords: شبکه های عصبی راجعه; Engine modeling; Engine control; Nonlinear dynamic modeling; Neural networks; Air-to-fuel ratio control; Recurrent neural networks
Modelling and control of chaotic processes through their bifurcation diagrams generated with the help of recurrent neural network models. Part 2: An industrial study
Keywords: شبکه های عصبی راجعه; Bifurcation diagram; Recurrent neural networks; Multi-variate chaotic time-series; Chaotic process
Modelling and control of chaotic processes through their Bifurcation Diagrams generated with the help of Recurrent Neural Network models: Part 1—simulation studies
Keywords: شبکه های عصبی راجعه; Bifurcation Diagram; Recurrent Neural Networks; Multivariate chaotic time-series; Chaotic process
PIRANHA: Policy iteration for recurrent artificial neural networks with hidden activities
Keywords: شبکه های عصبی راجعه; Recurrent neural networks; Policy iteration; Sequence learning; Multi-step prediction
Periodic solutions and its exponential stability of reaction–diffusion recurrent neural networks with continuously distributed delays
Keywords: شبکه های عصبی راجعه; Recurrent neural networks; Reaction–diffusion; Distributed delays; Global exponential stability; Periodic oscillatory solutions; Lyapunov functional
Complex-valued forecasting of wind profile
Keywords: شبکه های عصبی راجعه; Wind forecasting; Complex-valued representation; Recurrent neural networks; Pipelined recurrent neural network; Delay vector variance
Design and performance of an intelligent predictive controller for a six-degree-of-freedom robot using the Elman network
Keywords: شبکه های عصبی راجعه; Robotics; Six-degree-of-freedom robot; Recurrent neural networks; Elman neural network; Generalized predictive control; Intelligent robot control
A neuro-fuzzy price forecasting approach in deregulated electricity markets
Keywords: شبکه های عصبی راجعه; Locational marginal price; Forecasting; Deregulation; Fuzzy reasoning; Recurrent neural networks;
On the relationship between deterministic and probabilistic directed Graphical models: From Bayesian networks to recursive neural networks
Keywords: شبکه های عصبی راجعه; Bayesian networks; Belief propagation; Recursive neural networks; Recurrent neural networks; Constraint networks; Graphical models;
On the global output convergence of a class of recurrent neural networks with time-varying inputs
Keywords: شبکه های عصبی راجعه; Recurrent neural networks; Global output convergence; Time-varying input; Lyapunov diagonal stability; Lipschitz continuity; Optimization;
Recurrent neural networks employing Lyapunov exponents for EEG signals classification
Keywords: شبکه های عصبی راجعه; Recurrent neural networks; Levenberg-Marquardt algorithm; Electroencephalogram (EEG) signals; Chaotic signal; Lyapunov exponents;
Nonstationary hydrological time series forecasting using nonlinear dynamic methods
Keywords: شبکه های عصبی راجعه; Nonstationarity; Hydrologic time series; Modeling; Recurrent neural networks; Multivariate adaptive regression splines;
A batch-to-batch iterative optimal control strategy based on recurrent neural network models
Keywords: شبکه های عصبی راجعه; Batch-to-batch control; Iterative learning control; Optimisation; Recurrent neural networks; Batch processes; Polymerisation;
Recurrent neuro-fuzzy system for fault detection and isolation in nuclear reactors
Keywords: شبکه های عصبی راجعه; Neuro-fuzzy systems; Recurrent neural networks; Diagnostic system; Fault detection and isolation; Human-machine integration; Nuclear power plants;
A multiobjective genetic algorithm for obtaining the optimal size of a recurrent neural network for grammatical inference
Keywords: شبکه های عصبی راجعه; Recurrent neural networks; Multiobjective genetic algorithm; Grammatical inference;
Some new results for recurrent neural networks with varying-time coefficients and delays
Keywords: شبکه های عصبی راجعه; 34K20; 92B20; Recurrent neural networks; Varying-time coefficient; Varying-time delay; Boundedness; Global exponential stability; Periodic solution; Lyapunov functional; Young inequality;
Absolute exponential stability of a class of recurrent neural networks with multiple and variable delays
Keywords: شبکه های عصبی راجعه; Recurrent neural networks; Delays; Absolute exponential stability; Lyapunov functionals;
Theory and application of neural networks for 1/n rate convolutional decoders
Keywords: شبکه های عصبی راجعه; Convolutional codes; Decoding; Noise energy function; Simulated annealing; Recurrent neural networks;
Accurate freeway travel time prediction with state-space neural networks under missing data
Keywords: شبکه های عصبی راجعه; Advanced traffic information systems; Recurrent neural networks; State-space neural networks; Robustness; Missing data; Simple imputation; Non-linear state-space models; Traffic prediction; Travel time prediction; Neural network design;
Identification and prediction using recurrent compensatory neuro-fuzzy systems
Keywords: شبکه های عصبی راجعه; Identification; Neuro-fuzzy systems; Compensatory; Chaotic; Recurrent neural networks;