A network security situation prediction model based on wavelet neural network with optimized parameters

The security incidents ion networks are sudden and uncertain, it is very hard to precisely predict the network security situation by traditional methods. In order to improve the prediction accuracy of the network security situation, we build a network security situation prediction model based on Wavelet Neural Network （WNN） with optimized parameters by the Improved Niche Genetic Algorithm （INGA）. The proposed model adopts WNN which has strong nonlinear ability and fault-tolerance performance. Also, the parameters for WNN are optimized through the adaptive genetic algorithm （GA） so that WNN searches more effectively. Considering the problem that the adaptive GA converges slowly and easily turns to the premature problem, we introduce a novel niche technology with a dynamic fuzzy clustering and elimination mechanism to solve the premature convergence of the GA. Our final simulation results show that the proposed INGA-WNN prediction model is more reliable and effective, and it achieves faster convergence-speed and higher prediction accuracy than the Genetic Algorithm-Wavelet Neural Network （GA-WNN）. Genetic Algorithm-Back Propagation Neural Network （GA-BPNN） and WNN.

Investigation and Analysis of Nutrition Components of Wild Chives Collected from Hezhang County of Guizhou Province

Guizhou Province is an important distribution area of wild onion resources,and a large area of wild( Chinese) chives are distributed in Hezhang County. In order to understand and study the distribution of wild chives,the geographical distribution,habitats and climate of wild chives in Hezhang County were investigated,and the main nutrition components of wild chives were analyzed. The results indicated that there were mainly three kinds of wild chives distributed in Hezhang County, including Allium wallichii Kunth., Allium ovalifolium Hand.-Mazz.( tentatively named),and Allium hookeri Thwaites( tentatively named). Among the 17 kinds of amino acids,except for proline,the content of other amino acids in wild chives was higher than that of the cultivated chives( Allaum tuberosum Rottler ex Spreng.). The sugar content of wild chives was significantly lower than the cultivated chives. Among nine trace elements,the manganese,zinc and iron content of A. ovalifolium Hand.-Mazz. were significantly higher than that of the cultivated chives and other wild chives. Among the four kinds of heavy metals,cadmium content in the three kinds of wild chives exceeded the limitation of the national standard,and cadmium content in A. ovalifolium Hand.-Mazz. was significantly higher than that of the others. Arsenic,mercury and lead content in A. ovalifolium Hand.-Mazz. also exceeded the limitation of the national standard. Vitamin C content in leaves and stalk of A. wallichii Kunth. in the original habits was higher than that of the cultivated chives. The biological characteristics and nutrition components of the wild chives from Hezhang County were significantly different from that of the cultivated chives. The collection and preservation of these resources are of great significance to the enriching of diversity of Chinese chive resources and has great development and utilization value to the improvement of nutritional quality of Chinese chives.