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1 results about "Feedforward neural network" patented technology

A feedforward neural network is an artificial neural network wherein connections between the nodes do not form a cycle. As such, it is different from recurrent neural networks. The feedforward neural network was the first and simplest type of artificial neural network devised. In this network, the information moves in only one direction, forward, from the input nodes, through the hidden nodes (if any) and to the output nodes. There are no cycles or loops in the network.

Diabetes detection method based on manifold regularization kernel extreme learning machine

PendingCN110600119ALower requirementLower education requirementsMedical automated diagnosisNeural architecturesLearning machineComputers technology
The invention belongs to the technical field of bioinformatics and relates to a novel diabetes detection method. An object of the present invention is to provide a method capable of detecting diabetesin a short time and at a low cost. By means of computer technology, the invention solves the long running time of a feedforward neural network algorithm in the prior art and the relatively high costof traditional diabetes detection. The method is an algorithm based on manifold regularization kernel extreme learning machine, and is obtained by improving an extreme learning machine algorithm. By adding a manifold regularization term and introducing a Laplacian matrix, the method enhances the fitting ability of the kernel extreme learning machine and obtains better results than an existing technical means.
Owner:XIANGTAN UNIV
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