Learning to solve sequential decision-making tasks is difficult. Humans take years exploring the environment essentially in a random way until they are able reason, difficult tasks, and colla

Neural network is one of the new soft computing methods commonly used for prediction of the thermodynamic properties of pure fluids and mixtures. In this study, we have used this soft computing method to predict the coefficients of the Antoine vapor pressure equation. Three transfer functions of tan-sigmoid (tansig), log-sigmoid (logsig), and linear were used to evaluate the performance of diff...

The core of the organizational learning theory was that the organizational learning activities were the source of organizational value creation. The research focus of organizational learning theory was to discuss the socialization process of organizational learning from the perspective of social capital and its specific impact on the performance of organizational knowledge transfer. Previous st...

We consider a transfer-learning problem by using the parameter transfer approach, where a suitable parameter of feature mapping is learned through one task and applied to another objective task. Then, we introduce the notion of the local stability of parametric feature mapping and parameter transfer learnability, and thereby derive a learning bound for parameter transfer algorithms. As an appli...