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Application of Neural Network in Prediction of Knowledge Employees’ Psychological Contract

Li Yang

Abstract


With the knowledge employees’ psychological contract as the object, the prediction of the knowledge employees’ psychological contract is realized through the optimization of RBF neural network by regression tree and establishment of the improvement-based psychological contract prediction model. The results of psychological contract prediction model showed that the predicted data are more close to measured data, and we can think that the learning algorithm of the regression tree-based RBF neural network and the prediction model for the algorithm-cored employees’ psychological contract level prediction model are efficient. This model substitutes the previous subjective measured methods of psychological contract, meanwhile the establishment of the model provides managers with a scientific and efficient method for the forecast of the knowledge employees' psychological contract.


Keywords


neural network, psychological contract, prediction.

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