Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: , as an extension of real-valued orthogonal least-squares regression with tunable kernels (OLSRTK), a complex-valued OLSRTK is pre- sented which can be used to construct a suitable sparse regression model. In or- der to enhance the real-valued OLSRTK, the random traversal process and method of filtering center are adopted in complex-valued OLSRTK. Then, the complex-valued OLSRTK is applied to train complex-valued radial basis func- tion neural networks. Numerical results show that better performance can be achieved by the developed algorithm than by the original real-valued OLSRTK.
['Xia Mo', 'He Huang', 'Tingwen Huang']
I am writing a research paper on a idea An Improved Learning Algorithm with Tunable Kernels for Complex-Valued Radial Basis Function Neural Networks
[{"from": "human", "value": "I am writing a research paper on a idea An Improved Learning Algorithm with Tunable Kernels for Complex-Valued Radial Basis Function Neural Networks"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: , as an extension of real-valued orthogonal least-squares regression with tunable kernels (OLSRTK), a complex-valued OLSRTK is pre- sented which can be used to construct a suitable sparse regression model. In or- der to enhance the real-valued OLSRTK, the random traversal process and method of filtering center are adopted in complex-valued OLSRTK. Then, the complex-valued OLSRTK is applied to train complex-valued radial basis func- tion neural networks. Numerical results show that better performance can be achieved by the developed algorithm than by the original real-valued OLSRTK."}]