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An Inventory System Utilizing Neural Network in The Prediction of Machine Learning Techniques

A neural network defines an artificial circuit consisting of artificial nodes that can be effectively utilized for adaptive control, predictive modeling purposes and many others. Hidden patterns and the interrelation among particular datasets can be effectively analyzed through this unique model. The introduction part comprises the definition of inventory management and its components of it. The application and advantages of neural networks over designing inventory management have also been analyzed thoroughly. The literature review part analyzed the detailed structure of neural networks and also comprises a flow diagram through which a detailed mechanism of the neural network model can be reflected. The discussion part critically analyzes the effective utilization of machine learning-based neural network models in diverse industries. Authentic examples have also been cited in this context for a better understanding of its effectiveness among different enterprises. A clear conclusion has also been given that comprises concise findings from the whole research paper. In this research study, a detailed analysis has occurred where 61 individuals have been selected for asking questions. Two crucial questions depending on this innovative model has been asked and they have given the instruction to clearly express their concerns against these questions. According to their opinion, a graphical representation has been mentioned in this paper through which an individual can generate a clear idea about the importance of this research study.