[PDF] Top 20 Research on Computer Digital Signal Processing Network based on the RBF Neural Network
Has 10000 "Research on Computer Digital Signal Processing Network based on the RBF Neural Network" found on our website. Below are the top 20 most common "Research on Computer Digital Signal Processing Network based on the RBF Neural Network".
Research on Computer Digital Signal Processing Network based on the RBF Neural Network
... In this experiment, we used the relate sound card and a mono microphone for 50 young men with sound acquisition. Everyone is a “school” pronunciation of the word, 20 times per person, 15 times for the training, and the ... See full document
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The Research on Flux Linkage Characteristic Based on BP and Rbf Neural Network for Switched Reluctance Motor
... of neural network that has outstanding nonlinear mapping capability, this paper adopts the Back Propagation (BP) based on Levenberg-Marquardt (LM) algorithm and Radial Basis Function (RBF) ... See full document
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An Efficient Feature Extraction Method with Pseudo Zernike Moment in RBF Neural Network Based Human Face Recognition System
... in digital images using a new feature extraction method that combines the global and local information in frontal view of facial ...(RBF) neural network with a hybrid learning algorithm (HLA) ... See full document
12
Studies on Optimization Algorithms for Some Artificial Neural Networks Based on Genetic Algorithm (GA)
... (RBF) neural network and three-layer perception are: RBF neural network has only one group of weights (from hidden to output layer); RBF neural network use ... See full document
8
Radar Signal Detection In Non-Gaussian Noise Using RBF Neural Network
... was Research and Development engineer in Specialty Metals Ltd, Pune ...His research interests are in Digital Signal Processing and Neural Networks, with current focus on Radar ... See full document
8
A Novel Power Amplifier Behavior Modeling Based on RBF Neural Network with Chaos Particle Swarm Optimization Algorithm
... He began teaching in Liaoning technical university from 1993, and was engaged in teaching and research of communication engineering in 1994. So far, he authored and co- authored over 40 papers in international ... See full document
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Prediction of Tourist Quantity Based on RBF Neural Network
... Image Processing Lab, College of Information Science and Engineering, Ritsumeikan University, ...titled Digital Watermarking Algorithms Robust to Geometrical Attacks (Beijing: Intellectual Property ... See full document
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Method of Wireless Sensor Network Data Fusion
... information processing needs to be carried out in a timely manner in order to utilize the information to obtain the exact state of the observation target or the complete real-time evaluation ...brain, ... See full document
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The research of how to identify the computer network fault by improving neural network
... and signal analysis technology made the fault diagnosis technology go into the second phase, and all of the technologies have been widely used in the maintenance projects and reliability ...of computer ... See full document
9
II.M ETHODOLOGY A. Vibration Detection
... which, based on using neural network and newest digital signal processing techniques, automatically detects noisy sinusoidal vibration parameters of a cantilever beam and ... See full document
6
EEG Signal Recognition Based on Wavelet Transform and ACCLN Network
... Brain Computer Interface (BCI) technology formed by the EEG signal has become one of the hotspots at ...feature signal of EEG is the most basic research of BCI ...the neural ... See full document
15
Automatic detection on intracranial aneurysm from digital subtraction angiography with cascade convolutional neural networks
... Several research studies were conducted for automatically detecting intracranial aneurysms in recent ...invasive digital subtraction angi- ography (DSA) is taken as the gold standard of aneurysm detection ... See full document
18
Tourist traffic prediction method based on the RBF neural network
... RBF neural network belongs to forward neural network, whose structure has adaptivity and whose output has not relationship with initial weight ...realizes RBF neural ... See full document
5
Review on Transformer Protection through Arti...
... Since the transformer inrush current is rich in second harmonic component therefore to avoid the needless trip by inrush current harmonic restraint logic together with differential logic is used in most of the fault ... See full document
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Simulation and Prediction for Groundwater Dynamics Based on RBF Neural Network
... That the factors (such as water level, water quantity, wa- ter chemical composition, water temperature, etc.) in the aquifer system changing with time under interaction in the surrounding environment, is called ... See full document
5
Design of radial basis function neural network controller for BLDC motor control system
... method based on Radial Basis Function(RBF) has been proposed in this ...of neural network was revised in time according to the speed of motor and phase current, the duty cycle of pulse width ... See full document
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The Application of Genetic Neural Network in Network Intrusion Detection
... BP neural network is very suitable for intrusion detection ...the neural network, we can obtain a network intrusion detection network structure, and then can use it to detect any ... See full document
8
An Indoor Localization Algorithm Based on RBF Neural Network Optimized by the Improved PSO
... A localization algorithm based on RBFNN is proposed in the paper, combined with RAN and improved PSO algorithm. The center, the number of nodes in hidden layer and spread constant of RBFNN is determined by RAN ... See full document
8
Usage Surface Deflection Data for Performance Prediction in Flexible Pavement
... In this paper, the authors propose a novel method for estimating PCI in flexible pavements. In the proposed method, the PCI of a pavement segment can be calculated based on the surface deflections recorded in the ... See full document
22
Detecting Terror- Related Activities on the Web Using Neural Network
... The detection module performs on line monitoring of all traffic between the users being monitored and the web. The content of the pages they access is analyzed, transformed to a form of a vector. And added to the vector ... See full document
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