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The Application of BP Neural Network in Network Intrusion Detection

Advanced Materials Research, 2013
As the network is impacting enormously to all aspects of society, the network security becomes a critical problem. The traditional intrusion detection technology exists some disadvantages: the imperfection of architecture, the slow detecting of system, the vulnerable of itself architecture, and so on.
Ya Fang Lou, Zhi Jun Yuan, Hao Wu
openaire   +1 more source

Application of BP neural network to animal transports monitoring

2016 International Conference on Logistics, Informatics and Service Sciences (LISS), 2016
According to the demands of monitoring method for animal transports, this paper proposes the use of a BP neural network based algorithm to monitor the animal transports, using the wireless sensor network to monitor the environment during transport to assure the animal welfare.
Miner Zhong, Yong Zhang 0011
openaire   +1 more source

Application of BP Neural Network in Motor PID

Proceedings of the 6th International Conference on Information Technologies and Electrical Engineering, 2023
Chen Wang 0090, Xiaodong Yao
openaire   +1 more source

Application of BP Neural Network in Power Load Simulator

2006
Adopting the fundamentals of PWM voltage source rectifier and the PID-control technology based on error-back-propagation neural network, an electronic power load simulator is designed in this paper, which can simulate the exact Volt-Ampere characteristics of power load and supply high quality feedback electric power.
Bing-Da Zhang, Ke Zhang
openaire   +1 more source

Modulation Recognition Based on BP Neural Network

2023
Zhiwei Sun   +5 more
openaire   +1 more source

The Evaluation of Service Trustworthiness Based on BP-Neural Network

2014
With the development of Internet, business models of offline service rendering and online service promotion and evaluation developed. But how to evaluate the service trustworthiness has not attracted great attention and much research. We build a Service Trustworthiness Evaluation Model based on outlier detection, user clustering and BP-Neural Network ...
Yue Li, Qingyang Gao, Jørgen Bøegh
openaire   +1 more source

An Image Segmentation Method Based on the BP Neural Network

2009
Applying BP to the optimal colors clustering of image can achieve good image segmentation effect. As BP is a teacher-supervised training neural networks algorithm, the correlation of input patterns will result in an insufficient training of some neurons, which will make it fail to segment image.
Xiaorong Wang   +2 more
openaire   +1 more source

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