【摘要】 针对传统信息风险评估系统设计评估准确度较低的问题,设计基于因子分析和神经网络的信息风险评估系统。该系统设计在原有硬件构成的基础上,将微处理器与控制器相连接,形成管控中心,利用寄存器组、直接存储器、定时器等构成控制器群组,构成新的评估系统组织结构。基于因子分析设置信号连续采集和定时采集程序,确定神经网络中信号所处位置节点,计算评估差异参数,对信息进行风险评估等价划分,至此该系统设计完成。实验结果表明,在微型处理器的管控下,设计的信息风险评估系统评估准确度比传统设计高出6.44%,符合实际需求。更多还原

【Abstract】 As the low evaluation accuracy of the traditional information risk assessment system,an information risk assessment system based on factor analysis and neural network is designed. On the basis of the original hardware composition,the microprocessor and the controller are connected in the system design to form the control center,and the register group,the direct memory,the timer and so on are applied to compose the controller group,and the organization structure of the new evaluation system is established. The programs of the signal consecutive acquisition and timed acquisition are set up based on the factor analysis,so as to determine the signal location node in the neural network,calculate and evaluate the difference parameters,and conduct the equivalent division of risk assessment for the information. Thus,the system design is completed.The experimental results show that,under the control of microprocessor,the evaluation accuracy of the designed information risk assessment system is 6.44% higher than that of the traditional design,which is in line with the actual requirements.更多还原