neural network based method
Text Dependent Speaker Recognition using MFCC features and BPANN
... 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 network and ...
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An Image Compression Method Based on Wavelet Transform and Neural Network
... After processing an image with the process of Figure 1, the restored image is a lossy image with certain compression. In the entire processing, compression is generated from the quantization process and the coding ...
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Segmentation of Lung Images using Region Based Neural Networks
... a neural network-basedsegmentation approach for CT lung images was proposedusingthe combination of Neural Networks and region growing which combines the regions of different ...a method for ...
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Prediction of Tourist Quantity Based on RBF Neural Network
... Now the forecasting methods which are universally adopted have the following kinds: simple regression analysis method (SRA), exponential smoothing method (ES), comprehensive autoregressive mobile analysis ...
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Detecting central fixation by means of artificial neural networks in a pediatric vision screener using retinal birefringence scanning
... The transparency of the decision making process has always been an issue in diagnos- tic decision making. Undoubtedly, it would be advantageous to be able to trace the logi- cal flow at every step of the way, as was done ...
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Fault Diagnosis of Motor Bearing Based on the Bayesian Network
... artificial neural network are used to classify the faults ...diagnosis based on neural network may affect the results of judgment because it depends on the selection, excessive or ...
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Application of Self-Organizing Feature Map Neural Network Based on K-means Clustering in Network Intrusion Detection
... SOM neural network will separately cluster the input vectors to certain neurons, thus the classification result of different data is ...above, network intrusion detection is essentially a clustering ...
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OPTIMIZATION OF HIGH VOLTAGE POWER SUPPLY FOR INDUSTRIAL MICROWAVE GENERATORS FOR ONE MAGNETRON
... The method based on neural network retrieves the 3D model by inputting the feature vector of 3D model into the network classifier which has two problems: One is that the network ...
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Abstract
... Artificial neural network analysis was run on a personal computer using STATISTICA NEURAL NETWORKS ...artificial neural network based on a multilayer perceptron consisting of 35 ...
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A word-building method based on neural network for text classification
... For neural network – based models, the settings in training process (such as regularisation and initialisation) of English text experiment are almost the same as those in Chinese text experiment ...
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Tourist traffic prediction method based on the RBF neural network
... RBF neural network is a traditional technique of multi-dimensional spatial interpolation, which has favorable global approximation capability and composed of an input layer, a hidden layer and an output ...
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Language Recognition Method of Convolutional Neural. Network Based on Spectrogram
... ivector is proposed to improve the GMM Supervector (GSV). The GSV-SVM method is representative of typical statistical language recognition methods. The average supervector obtained after modeling a Gaussian ...
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Construction Quality Residential Project Based on Artificial Neural Network
... Pim Polesie conducts an in-depth analysis of the status quo of engineering quality and the quality of engineering construction through the evaluation re- sults of the evaluation system, and proposes reasonable quality ...
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New Cryptography Based Compression Method using Blowfish and Neural Network
... Cryptography is actually participating in a major purpose throughout data protection throughout applications managing inside a network environment. The idea enables individuals to ply their trade in an electronic ...
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A Prediction Method of Charging Station Planning Based on BP Neural Network
... distribution network and EV charging stations simultaneously, a model to determine the site and capacity of DGs and EV charging stations, in which the minimum total cost, the lowest network loss and the ...
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Research on Intention Recognition Method Based on Radial Basis Function Neural Network
... clustering method, as a common and effec- tive clustering method, can confirm the extension constant of hidden nodes on the basis of the distance among various clustering ...this method is that the K ...
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The Prognostic Method of Engine Gas Path Based on Convolutional Neural Network
... The neural networks usually have advantage in solving difficulties in the prognosis and health management (PHM) of typical electro-mechanical equipment, especially for aircraft ...Convolutional Neural ...
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Sentiment Analysis Method based on Piecewise Convolutional Neural Network and Generative Adversarial Network
... convolutional neural network, the feature vectors are input to the softmax classifier for ...dropout method to connect feature vectors with the softmax ...the neural network is randomly ...
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Modelling and predicting of MODIS leaf area index time series based on a hybrid SARIMA and BP neural network method
... linear method or nonlinear method. In this paper, SARIMA, BP neural network and a hybrid method of SARIMA-BP neural network were used for modeling and predicting MODIS LAI ...
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Evolving binary-weights neural network using hybrid optimization algorithm for color space conversion
... a method using neuroevolution strategy to realize multiplierless CSC architecture will be ...from neural network can then be used to construct high-speed shift-and-add based CSC circuit ...
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