Research Article
Image Classification Using Biomimetic Pattern Recognition with Convolutional Neural Networks Features
Table 1
Comparison of traditional pattern recognition and BPR.
| ā | Traditional pattern recognition | Biomimetic pattern recognition |
| Starting point | Optimal classification of different classes | Recognition of samples one by one class | Theoretical basis | All available information is included in the training set | Continuity of one sample class in feature space | Math tool | Statistics | Topology | Analyze methods | Theoretical derivation of algebra and equations (logical thinking) | Descriptive geometry of high-dimensional space (imagery thinking) | Recognition method | Division | Coverage of complex geometry in high-dimensional space | Realization approach | SVM and traditional neural networks | Multiweight high-order neural networks |
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