Intranets provide some of the most powerful and economical since the invention of the telephone technologies. Although simple in its architecture, intranets have the potential to change the way people work, learn and process information, reason have had tremendous growth and today almost all companies have a. [1] This paper analyzes the performance of an Intranet on a corporate network (in this case it was considered the network of a bank), through an analysis of usage statistics and measurement techniques and simulation with achieve results at particular level and general level. 

En el presente trabajo se plantean las innovaciones más recientes y destacables en los paradigmas; sistemas expertos y redes neuronales artificiales, primero describiendo ambos sistemas y luego revisando las áreas de trabajo. Finalmente, por su novedad, se destacan las aplicaciones más relevqantes de los modelos neuronales que utilizan información financiera; es el caso del análisis del fracaso empresarial y la predicción en losmercados financierosm doned la complementariedad entre modelos estadísticos y neuronales están desempeñando un papel eficaz.

Intranets provide some of the most powerful and economical since the invention of the telephone technologies. Although simple in its architecture, intranets have the potential to change the way people work, learn and process information, reason have had tremendous growth and today almost all companies have a. [1] This paper analyzes the performance of an Intranet on a corporate network (in this case it was considered the network of a bank), through an analysis of usage statistics and measurement techniques and simulation with achieve results at particular level and general level. 

In this paper the most recent and remarkable innovations in paradigms arise; expert systems and artificial neural networks, describing both systems first and then reviewing the work areas. Finally, because of its novelty, highlights the most relevqantes applications of neural models using financial information; the case of business failure analysis and prediction in losmercados financierosm doned complementarity between statistical and neural models are playing an effective role.

In the present writing, the analysis, desing and implementation of the On-Line Job Section is described, which is a project comprised by the UNMSM-INDUSTRIAL PORTAL. For the development of this project, the methodology proposed by Software Engineering is used, employing up-to-date modelling and analysis tools. It is in addition the UNMSM-Faculity of Industrial Engineering Data WareHousing's implementation. It is furthermore pointed out that project was developed with the help of CIDESOFT.

In the present writing, the analysis, desing and implementation of the On-Line Job Section is described, which is a project comprised by the UNMSM-INDUSTRIAL PORTAL. For the development of this project, the methodology proposed by Software Engineering is used, employing up-to-date modelling and analysis tools. It is in addition the UNMSM-Faculity of Industrial Engineering Data WareHousing's implementation. It is furthermore pointed out that project was developed with the help of CIDESOFT.