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Aiming at false negative rate and false alart rate which exist generally in the intrusion detection system, a intelligent intrusion detection model is proposed in this paper. Based on the characteristics of global superiority of genetic algorithm and locality of nerve, the model optimizes the weights of the neural network using genetic algorithm. Experiment results show that the intelligent way can...
Engineering has attached more and more importance to bridge safety monitoring in recent years. However, financial resources and material resources as well as human resources of traditional means of monitoring were costly. Besides, traditional means of monitoring were low accuracy. This article takes the project for example, used neural network method, by using historical data of the bridge monitoring...
Based on discussions of the hardware implementations of artificial neural network (ANN), the single layer architecture to FPGA of the back propagation artificial neural network (BP ANN) is proposed. To construct the single layer architecture, the computing blocks of BP ANN are presented. The construction of the single layer architecture is described. According the experiments of the implementation...
In this study, a multi-band FM-CW land- based scatterometer is used to measure the backscattering coefficient of bare soil surface. And then combined with the neural network which can be simulated in any nonlinear problem in theory, and integrated equation model (IEM) which has a wide range of surface roughness, has realized all of the surface parameters inversion through the theoretical simulation...
A new approach is suggested for designing and developing an employment influence factors correlation analysis application where GMDH principle is used for generating it more easily. This approach uses self-organizing data mining importing the concept of evolution based on principle of GMDH and enables the knowledge extraction process on a highly automated level and generates optimal complex model...
This paper presents an adaptive neuron model utilizing information of local samples - the AUILS neuron model. Differing from traditional neuron models, the AUILS neuron model fully employs the experience samples information within the local range and well embodies the association and analogy functions of cerebrum. The neural network, which is simple in structure and fast in learning speed, can realize...
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