Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  presents a novel approach to adapting the ights of single-layer perceptron based communication channel equalisers, using the log-likelihood cost function and the resulting least-mean-log-likelihood adaptive algorithm. It provides promising theoretical and experimental results, illustrating that developing equalisers following this approach allows faster convergence, lor estimation error and better bit error rate performance in comparison with the traditional Rosenblatt (1962) and back-propagation algorithms.
['Changjing Shang', 'C.F.N. Cowan', 'Murray J. J. Holt']
I am writing a research paper on a idea Least-mean-log-likelihood adaptive algorithm in single-layer perceptron based communication channel equalisation
[{"from": "human", "value": "I am writing a research paper on a idea Least-mean-log-likelihood adaptive algorithm in single-layer perceptron based communication channel equalisation"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  presents a novel approach to adapting the ights of single-layer perceptron based communication channel equalisers, using the log-likelihood cost function and the resulting least-mean-log-likelihood adaptive algorithm. It provides promising theoretical and experimental results, illustrating that developing equalisers following this approach allows faster convergence, lor estimation error and better bit error rate performance in comparison with the traditional Rosenblatt (1962) and back-propagation algorithms."}]