Neural Network Architectures for Pattern Recognition
DOI: 10.1007/978-3-642-79119-2_12
关键词: Pattern recognition (psychology) 、 Image (mathematics) 、 Artificial neural network 、 Speech processing 、 Optical character recognition 、 Modular design 、 Time delay neural network 、 Computer science 、 Neocognitron 、 Artificial intelligence
摘要: It is argued that maximal benefit gained from complex Neural Network architectures. A formalism to train Multi Modular Architectures given. Examples of such MMAs for various applications in image and speech processing, time series prediction are shown, which illustrate the benefits using MMAs.
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