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Artificial neural networks as models neuronal electronic state offices

Tchórzewski J., Leszko K.

Information Systems in Management

2015

Vol. 4, No. 3

219--227

The paper presents selected results of research on learning design and artificial neural network (ANN) models paperless office as a state defined as a document repository. A review of selected issues on artificial neural network, and environments to support their generation and learning. In particular, attention was drawn to the new modeling capabilities leading to obtaining neural models of electronic systems. Artificial neural network is designed and taught her electronic office model based on the size of the input 11 and 9 variables, par 72 trainees on the actual size of government agencies for the year 2007. The model was obtained in MATLAB and Simulink and using the Neural Network Toolbox. Showing the possibilities of using the model to test sensitivities and simulation in Simulink.

System zarządzania dokumentami elektronicznymi a integracja z platformą ePUAP

Valenta M., Górka T., Marcjan R.

Metody Informatyki Stosowanej

2011

nr 3

193-203

Implementation of the system which supports the processes in public administration with the use of the electronic Platform of Public Administration Services (ePUAP), creates new opportunities for the development of many new concepts in the Information Society. The ePUAP system is a platform which clearly supports the communication processes using e-documents, mainly in the scope of office-citizen communication. The paper shows the possibilities of vast functionality extension of the ePUAP platform by implementing the system services dedicated to the user, enhancing the private document management and the correspondence with the public institutions with the use of ePUAP platform. The concept of the functionality of the Dok system is extended with an aspect of the prototype system implementation, crucial for the usage of many modern technological solutions.