Research on the Neural Network Learning Evaluation Model of Meteorological Technical Personnel
Year: 2014
Type: article
Abstract: With the increasingly salient social influence of virtual practice, personalized lifelong learning concept could be realized through network platform. The new learning environment and platform generate the new evaluation system and model. The working experience and features of network learning of the meteorological technical personnel determine the difference between network evaluation model and the traditional summative evaluation system.. The nonlinearity between input vector and output vector also determines the neural network learning evaluation model orientation. The training and simulation show that the network learning evaluation achieves its best effect when the hidden node is 4.
Source: Applied Mechanics and Materials
Authors: Xu Hua Deng, Xiang Gen Gan, Ren Wu
Language: English
Subfield: Education
Field: Social Sciences
Domain: Social Sciences
Open Access status: hybrid
OpenAlex ID: W2001653584