Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  proposes the optimal designs of both the rectified layer and the pooling layer of the convolutional neural network for a non-invasive blood glucose estimation system. The activation function of the neuron in the rectified layer is modelled by a high dimensional Gaussian function. The optimal design of the rectified layer becomes the optimal design of the parameters in the high dimensional Gaussian function. On the other hand, the pooling layer of the convolutional neural network is to represent a certain number of the outputs of the rectified layer by a value. , this representation value is defined as the Lp norm of a certain number of the outputs of the rectified layer, and the value of p is found via finding the solution of a smooth optimization problem. By finding the solutions of these optimization problems, the designed convolutional neural network is used in a non-invasive system for estimating the blood glucose concentration.
['Xin Wu', 'Yuwei Liu', 'Jing Su', 'Ya Li', 'Wing-Kuen Ling', 'Chi-Kong Li']
I am writing a research paper on a idea Optimal design of both rectified layer and pooling layer of convolutional neural network for noninvasive blood glucose estimation system
[{"from": "human", "value": "I am writing a research paper on a idea Optimal design of both rectified layer and pooling layer of convolutional neural network for noninvasive blood glucose estimation system"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  proposes the optimal designs of both the rectified layer and the pooling layer of the convolutional neural network for a non-invasive blood glucose estimation system. The activation function of the neuron in the rectified layer is modelled by a high dimensional Gaussian function. The optimal design of the rectified layer becomes the optimal design of the parameters in the high dimensional Gaussian function. On the other hand, the pooling layer of the convolutional neural network is to represent a certain number of the outputs of the rectified layer by a value. , this representation value is defined as the Lp norm of a certain number of the outputs of the rectified layer, and the value of p is found via finding the solution of a smooth optimization problem. By finding the solutions of these optimization problems, the designed convolutional neural network is used in a non-invasive system for estimating the blood glucose concentration."}]