• No results found

neural network based analysis

Dynamic analysis of synchronous machine using neural network based characterization clustering and pattern recognition

Dynamic analysis of synchronous machine using neural network based characterization clustering and pattern recognition

... Dynamic analysis of synchronous machine using neural network Dynamic analysis of synchronous machine using neural network based characterization clustering and pattern recognition.. ba[r] ...

155

Text Dependent Speaker Recognition using MFCC features and BPANN

Text Dependent Speaker Recognition using MFCC features and BPANN

... acoustic analysis based on MFCC has proved good results in speaker ...(VQ) based K-means clustering is done for the entire MFCC with respect to the cluster ...backpropagation neural ...

9

Performance Analysis of neural network based image processing mechanism to detect lung cancer

Performance Analysis of neural network based image processing mechanism to detect lung cancer

... substance based image recovery (CBIR) utilizing low level highlights, for example, shape and surface are examined with a specific end goal to make a system that characterize medicinal X-beam image ...image ...

9

Method of Wireless Sensor Network Data Fusion

Method of Wireless Sensor Network Data Fusion

... RBF network with local excitation function can overcome the defects of the inherent property brought by BP algorithm that it is easy to get into local ...BP network, so the optimal solution can be obtained. ...

9

Studies On Research Output Of Neural Network At International Level: Bibliometric Analysis

Studies On Research Output Of Neural Network At International Level: Bibliometric Analysis

... Berenika Webster (2005), have applied bibliometric methods to assess the volume of research studies published and the impact and sources of funding of biomedical research in the UK. The analyses also include an ...

6

Prediction of Tourist Quantity Based on RBF Neural Network

Prediction of Tourist Quantity Based on RBF Neural Network

... Artificial neural network (ANN) modeling method is an effective analysis method for forecasting, which can well reveal the correlation of nonlinear time series in delay state ...in neural ...

6

Teleoperation of SCARA with Neural Network Based Controller

Teleoperation of SCARA with Neural Network Based Controller

... f neural network based controller fo r the teleoperation o f Selective Compliance Assembly Robot Arm ...is based on MATLAB/Simulink and Lab VIEW software ...r neural network ...

9

Research on Early Warning Model of College Students' Psychological Crisis Based on Genetic BP Neural Network

Research on Early Warning Model of College Students' Psychological Crisis Based on Genetic BP Neural Network

... Artificial Neural Networks (ANNs) in the application of psychology ...crisis based on principal component analysis and neural network, providing faster and more effective prediction and ...

9

Nondestructive identification of tea (Camellia sinensis L ) varieties using FT NIR spectroscopy and pattern recognition

Nondestructive identification of tea (Camellia sinensis L ) varieties using FT NIR spectroscopy and pattern recognition

... Discriminant Analysis (LDA) and Artificial Neural Network (ANN) were compared to construct the identification models based on Principal Component Analysis ...

8

ECG SIGNAL PROCESSING USING BPNN & GLOBAL THRESHOLDING METHOD

ECG SIGNAL PROCESSING USING BPNN & GLOBAL THRESHOLDING METHOD

... waveform analysis is the morphology of QRS ...signal analysis and interpretation of these signals ...tasks. Neural Network is one of the most used methods of ECG beat classification, ...

6

ARTIFICIAL NEURAL NETWORK BASED TOLERANCE ANALYSIS METHOD

ARTIFICIAL NEURAL NETWORK BASED TOLERANCE ANALYSIS METHOD

... The Literature relevant to the selected methods were critically studied and compiled. Upon gathering further information on the advantages and limitations of these four methods, a framework for the new method will be ...

12

Performance analysis of neural network based control of hypnosis and analgesia during anesthesia by employing a pharmacokinetic  pharmacodynamic model

Performance analysis of neural network based control of hypnosis and analgesia during anesthesia by employing a pharmacokinetic pharmacodynamic model

... developed based on an exact model of the process, then perfect control is theoretically ...The neural internal model control approach (Hunt et ...the neural net forward model is subtracted from the ...

7

Analysis of Earth Embankment Structures using Performance-based Probabilistic Approach including the Development of Artificial Neural Network Tool.

Analysis of Earth Embankment Structures using Performance-based Probabilistic Approach including the Development of Artificial Neural Network Tool.

... sensitivity analysis using contour ...numerical analysis and a probability estimation sheet is ...Numerical analysis results showed a probability of exceeding limit state III of ...

217

WAVELET ANALYSIS AND NEURAL NETWORK CLASSIFIERS TO DETECT MID-SAGITTAL SECTIONS FOR NUCHAL TRANSLUCENCY MEASUREMENT

WAVELET ANALYSIS AND NEURAL NETWORK CLASSIFIERS TO DETECT MID-SAGITTAL SECTIONS FOR NUCHAL TRANSLUCENCY MEASUREMENT

... ultrasound analysis for detecting eventual mid-sagittal ...is based on two multilayer feed forward neural networks to analyze the main components of the face of the fetus, obtained via a redundant ...

11

Neural Network based Software Effort
Estimation: A Survey

Neural Network based Software Effort Estimation: A Survey

... (Artificial Neural Network) has the ability to discover relationships between the dependent and independent ...biological neural networks are Neurons (nodes) and Synapses ...Artificial Neural ...

6

Abstract

Abstract

... Artificial neural network analysis was run on a personal computer using STATISTICA NEURAL NETWORKS ...artificial neural network based on a multilayer perceptron consisting ...

6

Neural Network based LEACH Clustering Algorithm
in WSN

Neural Network based LEACH Clustering Algorithm in WSN

... Neural network[5] are the arithmetic algorithms which learns the complicated mapping between the input and the output according to supervised training and also classify the input data in a unsupervised ...

6

Sla Aware Load Balancing Algorithm Using Join-Idle Queue for Virtual Machines in Cloud Computing

Sla Aware Load Balancing Algorithm Using Join-Idle Queue for Virtual Machines in Cloud Computing

... uses neural-network dynamic weighted round-robin(nn-dwrr) for load balancing among virtual machines but for the further improvement we have used JIQ in place of ...

7

ADAPTIVE COLOR FILTER ARRAY INTERPOLATION ALGORITHM BASED ON HUE TRANSITION AND 
EDGE DIRECTION

ADAPTIVE COLOR FILTER ARRAY INTERPOLATION ALGORITHM BASED ON HUE TRANSITION AND EDGE DIRECTION

... GA based approach, the significant predictors with the corresponding equality/inequality and threshold values are decided simultaneously, so as to generate the decision rules ...assistance based a computer ...

7

Brain Tumor Segmentation from Multi modality MRI Data Based on Tamura Texture

Brain Tumor Segmentation from Multi modality MRI Data Based on Tamura Texture

... The MR image of brain tumor is segmented with BP neural network. The first step is to select the sample point. The choice of the training sample is very important and directly affects the search of the ...

6

Show all 10000 documents...

Related subjects