Forecasting of engineering manpower through fuzzy associative memory neural network with ARIMA: a comparative study

摘要

The smooth working of industry depends on the availability of proper engineering man- power. If proper qualified and experienced technical personnel are not available, the indus- try cannot run in the most efficient way. Here, an effort is made to assess the engineering manpower requirement (personnel belonging to mechanical engineering) in certain industry group (steel manufacturing) in the state of West Bengal in India for the Next 5 years. The method of auto regressive integrated moving average (ARIMA) and the fuzzy as- Sociative memory (FAM) neural network model are tested and based on error analysis (calculation of average error )the model with minimum error is selected and used for as- sessment of futuristic engineering manpower.