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[PDF] Top 20 Research on Network Group Event Recognition Based on Neural Network

Has 10000 "Research on Network Group Event Recognition Based on Neural Network" found on our website. Below are the top 20 most common "Research on Network Group Event Recognition Based on Neural Network".

Research on Network Group Event Recognition Based on Neural Network

Research on Network Group Event Recognition Based on Neural Network

... micro-blog event, micro-blog popular events, ...an event, we search for all records between the oc- currence of the event and the end ...the event is ...spot event duration is less than ... See full document

7

Research on neural network chaotic encryption algorithm in wireless network security communication

Research on neural network chaotic encryption algorithm in wireless network security communication

... wireless network brings a lot of convenience to people ’ s lives, but there are still many problems to be solved in wireless ...traditional network communication encryption algorithms such as RSA and ECC, ... See full document

10

Research on Enterprise Innovation Persistence Patterns Recognition and Selection Based on BP Neural Network

Research on Enterprise Innovation Persistence Patterns Recognition and Selection Based on BP Neural Network

... the research on the direction of innovation persistence adopts linear regression or probit nonlinear regression ...pattern recognition, in fact the re- lationship between independent variables and dependent ... See full document

22

Research on Intention Recognition Method Based on Radial Basis Function Neural Network

Research on Intention Recognition Method Based on Radial Basis Function Neural Network

... method based on machine learning to recognize the collaborator’s ...function neural network model was built for offline practice of a robot to recognize ...intention based on the dynamic ... See full document

11

The research of how to identify the computer network fault by improving neural network

The research of how to identify the computer network fault by improving neural network

... Computer network is one of the most important equipment in the whole world, with the gradual and rapid development of its scale, how to manage and maintain the computer network is becoming more and more ... See full document

9

NEURAL NETWORK BASED APPROACH FOR RECOGNITION FOR DEVANAGIRI CHARACTERS

NEURAL NETWORK BASED APPROACH FOR RECOGNITION FOR DEVANAGIRI CHARACTERS

... in research on handwritten recognition are increasing ...Handwritten recognition is not a new technology, but it has not gained public attention until ...handwritten recognition system with an ... See full document

11

Vehicle Recognition Based On Convolutional Neural Network

Vehicle Recognition Based On Convolutional Neural Network

... hot research topic. Vehicle recognition is one of the key technologies of intelligent ...vehicle recognition methods are as follows: sense coil detection, infrared detection method, the dynamic ... See full document

6

NEURAL NETWORK BASED MATCHING APPROACH FOR IRIS RECOGNITION

NEURAL NETWORK BASED MATCHING APPROACH FOR IRIS RECOGNITION

... existing methods have limitedcapabilities in recognizing relatively complex features in realisticpractical situations. The objective of this correspondence is to presenta new approach for recognizing humans from images ... See full document

6

Review on Transformer Protection through Arti...

Review on Transformer Protection through Arti...

... the neural network based algorithm has more adaptability and is likely to be more accurate, various researchers used it for power system protection which is the main focus of this ... See full document

6

Freight-Forward Agreement Time series Modelling Based on Artificial Neural Network Models

Freight-Forward Agreement Time series Modelling Based on Artificial Neural Network Models

... applying neural network modelling within the context of crude oil freight rate prediction for the Mediterranean line (Med-Med) using data from 1980 to 1995 and three variables: the actual rate time series, ... See full document

6

Neural Network based Road Sign Recognition

Neural Network based Road Sign Recognition

... sign recognition, but this approach required keeping in memory the changes in the model parameter to accommodate the natural variation of ...different research works, the objective of our thesis is to ... See full document

7

Acoustic Feature Extraction and Optimized Neural Network based Classification for Speaker Recognition

Acoustic Feature Extraction and Optimized Neural Network based Classification for Speaker Recognition

... For recognition process, probabilistic LDA method is used in several kinds of ...speaker recognition models like universal background model (UBM) and Gaussian mixture model (GMM) gives suitable result for ... See full document

10

Handwritten Libretto Recognition Using Multilayer and Cluster Neural Network

Handwritten Libretto Recognition Using Multilayer and Cluster Neural Network

... Character recognition is becoming more and more important in the modern ...character recognition. Handwritten digit recognition is a system widely used in the United ...code recognition that ... See full document

6

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

... and research purposes only, in accordance with the Canadian Copyright Act and the Creative Commons license—CC BY-NC-ND (Attribution, Non-Commercial, No Derivative ... See full document

155

Design And Development Of Convolutional Neural Network (CNN) Enabled Smart Camera Based User Entrance Intention Detection System

Design And Development Of Convolutional Neural Network (CNN) Enabled Smart Camera Based User Entrance Intention Detection System

... action recognition in videos attracts increasing research interests in computer vision community due to its potential applications in video surveillance, human computer interaction, and video content ... See full document

24

Informative Feature Trained Classification System For Credit Card Fraud Detection

Informative Feature Trained Classification System For Credit Card Fraud Detection

... Artificial Neural Networks (ANN) which is capable of simplifying the programming effort and algorithm design used in conventional ...on neural networks and fuzzy ... See full document

5

A new intrusion detection and alarm correlation technology based on neural network

A new intrusion detection and alarm correlation technology based on neural network

... the network has become increasingly prominent. A major threat to network security is the intrusion of information systems through the ...sufficient. Based on neural network technology, ... See full document

10

Text Recognition using Convolutional Neural Network: A Review

Text Recognition using Convolutional Neural Network: A Review

... To have the softcopies of Government documents, business officials, old newspapers, worn out documents which are in hard format is a very tedious job. In order to ease this process we have various OCR engines but at ... See full document

5

Face Recognition Based on DCT and RBF Neural Network

Face Recognition Based on DCT and RBF Neural Network

... face recognition system requires correct classification of input facial ...and neural networks are used for classification purpose. For recognition of faces with good accuracy with neural ... See full document

11

Robust Face Recognition Based on Convolutional Neural Network

Robust Face Recognition Based on Convolutional Neural Network

... The network model architecture includes 4 convolution layers, 4 maximum feature map activation functions, 4 maximum pooling layers and 2 fully connected ...proposed network model is a 144 × 144 grayscale ... See full document

6

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