A Simple Mask Detection Model Based On A Multi-Layer Perception Neural Network

2021 ◽  
Author(s):  
Nagmy A.A. SALEH ◽  
H. Metin ERTUNC ◽  
Radhwan A. A. SALEH ◽  
Murad A. RASSAM
Keyword(s):  
Neural Network ◽  
Detection Model ◽  
Model Based

scholarly journals Intelligent Detection Model Based on a Fully Convolutional Neural Network for Pavement Cracks

2020 ◽  
Vol 123 (3) ◽  
pp. 1267-1291
Author(s):  
Duo Ma ◽  
Hongyuan Fang ◽  
Binghan Xue ◽  
Fuming Wang ◽  
Mohammed A. Msekh ◽  
...  
Keyword(s):  
Neural Network ◽  
Convolutional Neural Network ◽  
Detection Model ◽  
Model Based ◽  
Intelligent Detection

Intrusion Detection Model Based on Improved Genetic Algorithm Neural Network in Computer Integrated Process System

2013 ◽  
Vol 380-384 ◽  
pp. 2708-2711
Author(s):  
Li Kun Zou ◽  
Shao Kun Liu ◽  
Guo Fu Ma
Keyword(s):  
Neural Network ◽  
Genetic Algorithm ◽  
Intrusion Detection ◽  
Detection System ◽  
Linear Mapping ◽  
Integrated Process ◽  
Detection Model ◽  
Model Based ◽  
Fitness Value ◽  
Process System

In order to solve the problems of high false alarm rate and fail rate in intrusion detection system of Computer Integrated Process System (CIPS) network, this paper takes advantage that Genetic Algorithm (GA) possesses overall optimization seeking ability and neural network has formidable approaching ability to the non-linear mapping to propose an intrusion detection model based on Genetic Algorithm Neural Network (GANN) with self-learning and adaptive capacity, which includes data collection module, data preprocessing module, neural network analysis module and intrusion alarm module. To overcome the shortcomings that GA is easy to fall into the extreme value and searches slowly, it improves the adjusting method of GANN fitness value and optimizes the parameter settings of GA. The improved GA is used to optimize BP neural network. Simulation results show that the model makes the detection rate of the system enhance to 97.11%.

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