A Novel Improvement of Neural Network Classification Using Further Division of Partition Space
نویسندگان
چکیده
Further Division of Partition Space (FDPS) is a novel technique for neural network classification. Partition space is a space that is used to categorize data sample after sample, which are mapped by neural network learning. The data partition space, which are divided manually into few parts to categorize samples, can be considered as a line segment in the traditional neural network classification. It is proposed that the performance of neural network classification could be improved by using FDPS. In addition, the data partition space are to be divided into many partitions, which will attach to different classes automatically. Experiment results have shown that this method has favorable performance especially with respect to the optimization speed and the accuracy of classified samples.
منابع مشابه
A Novel Classification Method using the Combination of Further Division of Partition Space and Flexible Neural Tree
The combination of Further Division of Partition Space (FDPS) and Flexible Neural Tree (FNT) is proposed to improve the neural network classification performance. FDPS, which divide partition space into many partitions that will attach to different classes automatically, is a novel technique for neural network classification. FNT is a neural network’s structure which uses flexible tree model. T...
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