Title :
The Research of Network Planning Risk Element Transmission Theory Model Based on Neural Network
Author :
Li, Cunbin ; Wang, Kecheng
Author_Institution :
Inst. of Bus. Manage., North China Electr. Power Univ. (NCEPU), Beijing
Abstract :
In order to solve the network planning problem considering risk elements efficaciously, we redefine the network planning in this paper and transform the classical network chart to the new network chart based on combining neural network theory. On this basis, a risk classification is listed for the construction project, and we give the evaluation activity indexes using the expert assessment. Then, a risk classification is listed for the construction project. In order to get the total risk degree of all the network routes, after setting a certain weight and threshold value, we regard the indexes as the neural network input vector and calculate the risk degree of various activities. Thus, the total risk degree of all the network routes can be got. Finally, the model algorithm is illustrated with a case study.
Keywords :
neural nets; risk management; telecommunication computing; telecommunication network planning; telecommunication network routing; network chart; network planning risk element transmission theory model; network routes; neural network input vector; risk classification; Artificial neural networks; Business communication; Energy management; Image recognition; Neural networks; Probability distribution; Radar signal processing; Random variables; Risk management; Target recognition;
Conference_Titel :
Wireless Communications, Networking and Mobile Computing, 2007. WiCom 2007. International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-1311-9
DOI :
10.1109/WICOM.2007.961