Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  present a probabilistic neural network model which is suitable for classification problems. This model constitutes an adaptation of the classical RBF network where the outputs represent the class conditional distributions. Since the network outputs correspond to probability density functions, training process is treated as maximum likelihood problem and an expectation-maximization (EM) algorithm is proposed for adjusting the network parameters. Experimental results show that proposed architecture exhibits superior classification performance compared to the classical RBF network.
['Michalis K. Titsias', 'Aristidis Likas']
I am writing a research paper on a idea A probabilistic RBF network for classification
[{"from": "human", "value": "I am writing a research paper on a idea A probabilistic RBF network for classification"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  present a probabilistic neural network model which is suitable for classification problems. This model constitutes an adaptation of the classical RBF network where the outputs represent the class conditional distributions. Since the network outputs correspond to probability density functions, training process is treated as maximum likelihood problem and an expectation-maximization (EM) algorithm is proposed for adjusting the network parameters. Experimental results show that proposed architecture exhibits superior classification performance compared to the classical RBF network."}]