Use Of Neural Networks In The Business Process Modeling

The emergence of Artificial Intelligence concepts and paradigms, of intelligent digital machines, able to elaborate the decision-making process without the interference of the human operator, modifies particularly fast, transparent and complex business models used by almost entirely of economic organizations.Neural Artificial Networks are models for the implementation mathematical algorithms built mimetically according to the neural structure specific to the human brain.The approach of business phenomenology as a systemic, integrated structure, based on operational and strategic entities that are based on the notion of knowledge are the fundamental priorities in the issue of elaborating the highest added value.A neural network is not a mandatory inductive towards a classical cognitive process, using classical if-then computer structures, this should rather be perceived as an expert system.Through a mimetic system, the aspects of information processing and physical structure of the human brain are simulated, the classification is made for a miniature, microscopic or even nano-scopic system for a white-box model or a macroscopic expert system in the black-box model.The tendency to studying, understanding and shaping the economic activities with neural science provides effective solutions to economic actors, actors in a globalized business macro-environment with a high degree of complexity and extremely dynamic.Numerous economic organizations have invested in the identification and development at the level of R & D (Reasearch and Development) departments of the business solving problems which they are confronted with, traditionally solved with the help of operational research, through algorithms and methods specific to neural networks and data exploration (data mining).This paper presents, positions and offers solutions to the use of neural networks in the issue of modern business models.