一种基于影响因子和神经网络的知识点摸底方法
Published in 发明专利 Invention patent, 2017
Recommended citation: Dayao Ji. (2017). "The knowledge point of a kind of allowed for influencing factors and neutral net is known the real situation method." China patent. CN106779053A. https://patents.google.com/patent/CN106779053A
一种基于影响因子和神经网络的知识点摸底方法
摘要：本发明提供了一种基于影响因子和神经网络的知识点摸底方法，通过提炼的影响因子和设计的多层神经网络模型，经线下训练后，保存神经网络模型收敛后的网络参数。在进行知识点摸底时，可以把待测用户的与待测知识点相关的影响因子输入到已训练好的神经网络模型中，通过算法计算直接摸底出用户对知识点的掌握情况，能够快速对用户知识点进行摸底。上述对知识点的摸底方法相较于原有做题的方式而言，大大缩短了摸底时长，提升了效率，有效增强了用户体验，具有广泛的市场前景。
The knowledge point of a kind of allowed for influencing factors and neutral net is known the real situation method
Abstract:A kind of knowledge point the invention provides allowed for influencing factors and neutral net is known the real situation method, by the factor of influence and the multilayer neural network model of design that refine, after being trained under warp, preserves the network parameter after neural network model convergence.When carrying out knowledge point and knowing the real situation, the factor of influence related to knowledge point to be measured of user to be measured can be input in the neural network model for having trained, the grasp situation directly known the real situation and user to knowledge point is calculated by algorithm, quickly user knowledge point can be known the real situation.It is above-mentioned to knowledge point know the real situation method compared to it is original do the mode inscribed for, substantially reduce duration of knowing the real situation, improve efficiency, Consumer’s Experience is effectively enhanced, with extensive market prospects.
Recommended citation:
纪大峣. 一种基于影响因子和神经网络的知识点摸底方法[P]. 中国：CN106779053A,2017-05-31.
D. Ji,”The knowledge point of a kind of allowed for influencing factors and neutral net is known the real situation method,” China Patent CN106779053A, May 31,2017.