As the era of big data approaches, big data has attracted increasing amounts of attention from researchers. Various types of studies have been conducted and these studies have focused particularly on the management, organization, and correlation of data and calculations using data. Most studies involving big data address applications in scientific, commercial, and ecological fields. However, th...

now-a-days, due to the quick growth of science and technology, institutionalization of learning organizations sounds as more important among public service organizations, and that is because they should be able to offer better services to their customers in accordance with the quick changes of science and technology. one of these organizations to be emphasized upon is jahad-e-keshavarzi organiz...

Mutual learning process between two parity feed-forward networks with discrete and continuous weights is studied analytically, and we find that the number of steps required to achieve full synchronization between the two networks in the case of discrete weights is finite. The synchronization process is shown to be non-self-averaging and the analytical solution is based on random auxiliary varia...

Abstract In animals and humans, curriculum learning—presenting data in a curated order—is critical to rapid learning effective pedagogy. A long history of experiments has demonstrated the impact curricula variety but, despite its ubiquitous presence, theoretical understanding phenomenon is still lacking. Surprisingly, contrast animal learning, strategies are not widely used machine recent simul...

-This paper presents a mathematical analysis of the occurrence of temporary minima during training of a single-output, two-layer neural network, with learning according to the back-propagation algorithm. A new vector decomposition method is introduced, which simplifies the mathematical analysis of learning of neural networks considerably. The analysis shows that temporary minima are inherent to...

The application of modelling to social learning in monkey populations has been a neglected topic. Recently, however, a number of statistical, simulation and analytical approaches have been developed to help examine social learning processes, putative traditions, the use of social learning strategies and the diffusion dynamics of socially transmitted information. Here, I review some of the recen...