[PDF] Top 20 Estimation of harmonics using adaptive wavelet neural network
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Estimation of harmonics using adaptive wavelet neural network
... the neural network is the process of choosing the correct initial ...the neural network such as random initialization, cluster technique ...and estimation accuracy depends on the ... See full document
8
A Novel Adaptive Steganographic Technique using Kohonen Neural Network based on Integer Wavelet Transform
... integer wavelet transform and the optimum pixel adjustment algorithm to maximize the hiding capacity of the system compared to other ...information using a secret key only known to both sender and ...an ... See full document
5
Neural-Network Estimation of the Variable Plant for Adaptive Sliding-Mode Controller
... tracking neural network controller based on the computed torque method [12] to [15], ...of neural network learning [14] if generalized learning is not ...a neural network ... See full document
9
FACE RECOGNITION USING GABOR WAVELET TRANSFORM AND FEED FORWARD NEURAL NETWORK
... Face detection is defined as the process of extracting faces from scenes. So, the system positively identifies a certain image region as a face. Face detection procedure has many applications like face tracking, pose ... See full document
8
Design of LTE System by using Neural Network Adaptive Equalizer Based on Discrete Fourier and Wavelet Transforms
... Discrete Wavelet and Fast Fourier Transform (DWT and FFT) is examined in Orthogonal Frequency-Division Multiplexing (OFDM) that uses in the Long-Term Evolution (LTE) ...flexibility. Wavelet has been ... See full document
13
GRAY LEVEL CO- OCCURRENCE MATRIX FEATURES BASED CLASSIFICATION OF TUMOR IN MEDICAL IMAGES
... Artificial Neural Network is utilized for image classification over ...Discrete Wavelet Transform to extract features, PCA to reduce the number of features and adaptive back propogation ... See full document
12
Crack Fault Detection for a Gearbox Using Discrete Wavelet Transform and an Adaptive Resonance Theory Neural Network
... trained neural network and/or increasing memory capacity with the species of ...ART neural network proceed ...ART neural network was presented in 1987 [19]. The type of ART ... See full document
11
A Solution to the Problem of Extrapolation in Car Following Modeling Using an online fuzzy Neural Network
... an adaptive approach to model car following process in traffic ...fuzzy neural network employed an adaptive least squares estimation to address the time- varying behavior of the car ... See full document
9
Hybrid Models Performance Assessment to Predict Flow of Gamasyab River
... modeling using a combination of wavelet - neural network for the Ligvan Chai (Tabriz, Iran) catchment has been ...modeling using a combination of artificial neural ... See full document
10
The Most General Intelligent Architectures of the Hybrid Neuro-Fuzzy Models
... Hybrid neural networks – based systems, are based on an architecture which integrates the neural networks and the fuzzy logic based system in the form of parallel ...the neural networks and fuzzy ... See full document
6
Study Of The Fault Diagnosis Based On Wavelet And Fuzzy Neural Network For The Motor
... change. Wavelet packets analysis can be effective for signal time-frequency decomposition, multi-level division band, further decomposes high frequency parts of the multiresolution analysis is not subdivided ... See full document
7
Wavelet Neural Network with Random Wavelet Function Parameters
... the wavelet function parameters are initialized and do not change during the training process, but weights between the hidden layer and the output layer of WNN are adjusted ...for wavelet function ... See full document
7
Curvelet and Wavelet Image Fusion using Neural Network Algorithm
... Multi-Layer Neural Networks: This class of networks consists of multiple layers of computational units; usually interconnected in a feed-forward ...for neural networks states that every continuous function ... See full document
5
Adaptive Control of a DC Motor Using Neural Network Sliding Mode Control
... There are many types of dc servo motors used in the industries in which rotor inertia is can be very small, and in this result, motors with very high torque – to – inertia ratios are commercially available. Servo systems ... See full document
5
Three layer wavelet based modeling for river flow
... To account for the deficiencies in the all the above mentioned one stage or multi stage hybrid models, this research proposes wavelets based three stage (Wavelets+KPCA+LSSVM) forecasting structure for modeling river flow ... See full document
50
Adaptive Neural Network Tracking Control for a Class of SISO Affine Nonlinear Uncertain Systems
... Since neural networks and fuzzy logic are universal approximators, the adaptive control schemes of nonlinear systems that incorporate the techniques of fuzzy logic [4, 7, 8, 10, 13, 16, 17] or neural ... See full document
7
Speech Enhancement Using Neural Network
... simple network architecture with minimum ...constructed using the well- known Multilayer Perceptron (MLP) network and trained using the backpropagation algorithm ...(BPA). Neural ... See full document
5
A Survey of Image Compression using Neural Network and Wavelet Transformation
... Neural Network [2] designs can be single layered only with the output layer or multi- layered with one or more hidden ...A neural network can be deterministic where the impulses to the other ... See full document
5
Test Effort Estimation Using Neural Network
... The network is trained with the test data that has been obtained from various ...are using some of the real data for training ...The network is trained for the data with maximum error rate of ...The ... See full document
10
Wavelet based Multi Class image classification using Neural Network
... forward network, with differentiable activation function units, to learn a training set of input-output ...the network to achieve a balance between the ability to respond correctly to the input patterns ... See full document
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