Application of Interactive information system in College Personnel Management by using BP Neural Network Algorithm

Abstract

Abstract The BP neural network algorithm has flexible modeling ability and data parallel processing ability. While processing data, it learns through self-learning and adaptive algorithms and associative functions. In the calculation mode of the bp neural network algorithm, the paper conducts forward conduction on the data signal, and conducts reverse conduction according to the obtained error value. The process of transferring the BP neural network algorithm content involved in the data from the input layer to the output layer under the data pattern formed by the forward guidance. And according to the analysis of BP neuron model data of three layers and above, the algorithm form of input layer and output layer is readjust, and the interval data is obtained and analyzed and summarized, so as to trigger the event research on the application of personnel management in colleges and universities. From the problem of university personnel management thoughts, to system flow numerical analysis as a starting point, starting from the present situation, the form of the personnel management of colleges and universities, this paper analyzed the characteristics of the personnel management at this stage, and the personnel management of colleges and universities ever form the difference, and according to the principle of summed up the characteristics of modern personnel management model, and analyzing the theory of knowledge, From the concept, logic and physical structure of data analysis and design, in the personnel management system of colleges and universities form an important direction of development.