Prediction Using A Neural Network Algorithm Approach (A Review)

Artificial Intelligence Neural Networks are one of the techniques used for prediction. This ANN is rapidly evolving. At the moment, neural networks are implementing used a variety of techniques. The challenge is the outcome's effectiveness and accuracy, defined by the method, parameters, dataset, and models implemented. Unfortunately, determining how many layers to use, how many filters to employ, and so on might require an extended period. Thus, analysis and review of existing approaches are required to compare many ways that have been utilized and attempt to offer an analysis of the best methods that may be employed, particularly for time series data. The analytical approach employed is one of comparison, in which one technique is comparing to another. The analysis intends to serve as a starting point for further research into ways to improve the performance of prediction algorithms in existing systems, particularly for data derived from regression analysis.