[PDF] Top 20 Sampled data state estimation for neural networks of neutral type
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Sampled data state estimation for neural networks of neutral type
... artificial neural networks due to their extensive application in signal and image processing, pattern recognition, and combinatorial optimization [, ...of neural networks such as cellular ... See full document
11
Periodic solutions for complex valued neural networks of neutral type by combining graph theory with coincidence degree theory
... valued neural networks of neutral type; (2) Novel sufficient conditions to guarantee the existence and global exponential stability of periodic solutions for system (1) are derived by removing ... See full document
23
Anti periodic solutions problem for inertial competitive neutral type neural networks via Wirtinger inequality
... itive neutral-type neural networks by using the Wirtinger inequality and topology degree ...competitive neural net- work, the behavior of this network is characterized by an equation of ... See full document
15
Stability Analysis for Uncertain Stochastic Delayed Neural Networks of Neutral-Type with Discrete and Distributed Delays
... for neural networks of neutral type with discrete and distributed delays has also received considerable attention; see for example, ...of neutral type neural ... See full document
9
Existence of Periodic Solutions for Neutral Type Neural Networks with Delays on Time Scales
... [1] C. J. Cheng, T. L. Liao, J. J. Yan and C. C. Hwang, “Globally Asymptotic Stability of a Class of Neutral-Type Neural Networks with Delays,” IEEE Transactions on Systems, Man, and ... See full document
5
New Robust Stability of Uncertain Neutral-Type Neural Networks with Discrete Interval and Distributed Time-Varying Delays
... the neural cells in practice, the existing neural network models cannot characterize the properties of a neural reaction process precisely ...complicated neural networks, a new ... See full document
8
Biperiodicity in neutral type delayed difference neural networks
... of neutral- type neural networks with delays ...for neutral-type networks with delays are proposed in [4] by using a new Lyapunov-Krasovskii functional and a novel series ... See full document
15
Pinning adaptive synchronization of neutral type coupled neural networks with stochastic perturbation
... In this paper, by using a pinning adaptive control scheme, we investigate the almost surely synchronization of neutral-type coupled neural networks with stochastic perturbation. Based on ... See full document
13
Delay dependent stability criteria for neutral type neural networks with interval time varying delay signals under the effects of leakage delay
... hand, neutral-type time-delay in the system models are usually encoun- tered in many practical applications, such as population ecology, chemical reactors, wa- ter pipes, heat exchangers, and robots in ... See full document
25
Finite time Stability of Uncertain Neutral type Neural Networks with Time varying Delay
... of neutral neural networks with time-varying delay and norm-bounded ...uncertain neutral neural network is finite-time stable, are proposed in terms of linear matrix inequalities by ... See full document
6
The exponential stability of BAM neural networks with leakage time varying delays and sampled data state feedback input
... It is well known that time delay is unavoidable in the hardware implementation of neural networks due to the finite switching speed of neurons and amplifiers. The delay can cause instability, oscillation, or ... See full document
10
CHANNEL ESTIMATION OF OFDM BASED SYSTEM USING PILOT ASSISTED NEURAL NETWORKS
... The frequency selective fading, is caused by multipath could lead to carriers used, being heavily attenuated due to destructive interference at the receiver. The result of this is the carriers being lost in the noise ... See full document
8
A Back Propagation Type Neural Network Architecture for Solving the Complete n × n Nonlinear Algebraic System of Equations
... According to the literature [11], the solution approaches for the nonlinear algebraic systems can be classified in two categories, namely the interval methods that are robust but too slow regarding their execution time, ... See full document
26
A New Health Assessment Prediction Approach: Multi-Scale Ensemble Extreme Learning Machine
... competitive data-driven approach for remaining useful life prediction of aircraft ...first networks are scaled and fed to the next networks as an additive features to the original ...useful ... See full document
7
A comparative study of effort estimation techniques using back propagation algorithm
... Traditional algorithmic techniques such as regression models, Software Life Cycle Management (SLIM), COCOMO II model, require estimation process in a long term. But, nowadays that is not acceptable for software ... See full document
7
Discriminating Neutral and Emotional Speech using Neural Networks
... on what type of features can be used for emotion recognition task. Brute force approach involves extracting as many features as possible, and use these in the experiments, sometimes using fea- ture selection ... See full document
8
Exponential Stabilization and Estimation for Sampled Observer Design of Surface Mounted Permanent Magnet Synchronous Motor
... Accordingly, state observers have been reported in recent years to get online estimates of mechanical variables based on on-line measurements of the elec- trical ...of state observers or Kal- man filters ... See full document
19
Modeling and Hybrid Pareto Optimization of Cyclone Separators Using Group Method of Data Handling (GMDH) and Particle Swarm Optimization (PSO)
... GMDH-type neural network which makes such re-evaluation ...GMDH data agree well with the CFD ...evaluation data in this paper is due to the large number of CFD ... See full document
14
Artificial Neural network for Data mining –A study
... direct lines from the input to output nodes) so that the linear parts of a mapping do not need to be approximated by the nonlinear model. Thus the RBFLN is a more complete model of a general nonlinear mapping. Both MLPs ... See full document
8
Passivity analysis and state estimation for a class of memristor based neural networks with multiple proportional delays
... memristor-based neural networks with multiple proportional delays and the state estimator is designed for the memristive system through the available output ...and state estimation of ... See full document
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