Recently, numerous attempts have been made to obtain intelligent process planning systems and to increase the efficiency of computer aided process planning (CAPP) system using new mathematical methods. Graph theories, Petri NETS, and fuzzy logic are powerful tools that are employed in this research to model different feasible states for performing a process and to obtain the best process performance path using exertion of the process designer's criteria. Then with the transformation of obtained model to machine language or other states which are capable for applying on tool machine controller can automatically do main pan of generation procedure and optimal path selection of process performance. The main idea of this research is the automation of assembly of industrial part using robots. In this paper it will be shown that several ideas and approaches which are proposed in the field of robotic assembly are applicable to the planning procedure modeling with minor modifications.

Application of non-classical methods in modeling complex systems and forecasting their behavior has become as more as usual for the scientists and professionals. In most complex systems, especially in non-linear systems, application of classical methods is very difficult or even useless. Non-classical methods are intelligent, knowledge-based, very flexible, and therefore effective in modeling and forecasting. Neural Networks are one of the well-known and innovative nonclassical methods, which have being used in modeling, pattern recognition, clustering and forecasting. This paper tries to predict the economic time series by neural NETS. Economic time series are considered as outputs of complex and non-linear economic systems, which can be modeled and forecasted by the neural NETS.It has been shown that the performance of neural NETS (as prediction machine) is very sensitive and dependent on the structure, size, and learning method of neural NETS. In this paper, using MATLAB neural NETS toolbox, some Iranian economic time series are being used as case studies for the neural network application.

Natural turf, as the best covering for playgrounds, has been used for a long time. Natural structure and tissues have made it very sensitive to changes in weather and applied destructive forces and conditions during the athletic competitions. The destruction of Turf layer results from different reasons usually accompanied with the extraction of plant roots from the soil or with soil compaction that decreases the field quality, specially during the compact competing seasons. The reinforcement of natural turf to enhance durability, is the best way to meet the requirements of playgrounds. In this study, to spread and absorb possible destructive forces the plastic or polymeric NETS have been laid on the planting area during the seeding process to avoid soil compaction and expected damages to the turf roots. Test results have shown that using polymeric NETS did not any negative effect on turf efficiency during the growing process. On the other hand, it can absorb p to 30% of destructive forces and blows in different directions. Walking test with a simulating walking machine has revealed a considerable increase in natural turf quality after reinforcement with polymeric NETS.

The goal of the present research was to provide an outline on the governing relations in the game NETS.Primary interviews and a researcher-made questionnaire were used to collect the data.150 boys going to game NETS were interviewed, and they were asked some questions concerning the ups and downs of the game NETS. The questionnaire was developed based on the previous researches and literature concerning this subject; following its facial validity was approved, and acceptability of the questionnaire’s Cronbach alpha was revealed after being conducted as a test, the researchers used the questionnaire in the study. This questionnaire was completed by 550 male high school students of three towns and cities of Tehran province; all these students were the users of game NETS. The results implied that there was an improper social atmosphere in game NETS, and this problem should be removed or reformed through changing the managing and controlling system of the game NETS.