ENHANCEMENT APPROACH ON CHANNEL EQUALIZATION USING ROBUST AND ADAPTIVE RANDOM FOREST LEARNING APPROACH

Inter-symbol Interference and inter-channel interference plays a major role in the telecommunication sector. The disturbances leads to lose important data that have been transmitted from the sender to the Receiver.This Research have been conducted with various Bio inspired based Machine learning approach and estimated the Research have been carried out and derived an efficient Learning approach using decision tree making concepts. This Research has reduced 20% of the Nominal ISI and 15% of nominal ICI than the other Bio inspired Algorithms also in additive this helps in reducing the SNR and tradeoffs occurring in the Communication. This approach can be deployed in wireless communication system that complies with any protocol or standards.