Research About Cognitive Model Of Rumors Based O Hopfield Neural Network

As a general public phenomenon, rumors usually disseminate in a face-to-face and word-of-mouth way, whose communication effect and range are somewhat limited. However, with the rapid development of the Internet and wireless networks, the rumors spread to wider range recent years, so the exploration and study to the rumors'inner spread mechanism become more complex and difficult. At present, the domestic and foreign scholars have done some researches to the general social rumors respectively in terms of social psychology and information science, and have made some progress and achievements, but the effect is not very obvious. An accurate and reliable conclusion is still not given out about the law of the rumors'spread and the essential characteristics and internal mechanism of rumors'engenderment.Earthquake rumors, as a special kind of social rumors, have the basic characteristics of general society rumors, but due to its special background, it attracts high attention and has a great influence in the social public. So this paper intends to do some research work to the generation mechanism and spread rule of the rumors at the background of earthquake rumors. Through observation to a series of events that of earthquake rumors, individual differences in the process of the formation and spreading of rumors fared obviously. Different individual has different characteristic attributes, so the cognition to the same information will vary, thus to study the individual cognitive model is very significant to the individual rumor spread behavior. Hopfield neural network has an associative memory function, and the biology research shows that the synapses'junctions in the hippocampus CA3 area, the part of brain responsible for associative memory function have similar characteristics with the neurons in the Hopfield network, and hence Hopfield neural network is adopted in this paper to individual cognitive model, through the associative memory function of Hopfield neural network to simulate the associative memory function of the human brain CA3, so as to realize the individual's memory and identification to information of rumors. Finally, this paper realizes the individual cognitive model through c + + programming and conducts a series of experiments and data analysis, and gives a comparative analysis with the reality. Based on the It can be found, through analysis to the experimental data, individual cognitive model set up in the paper basic conform to the real individual cognition.