Neurobiological Modelling and Structured Neural Networks
作者： B. Brückner , W. Zander
DOI: 10.1007/978-1-4471-2063-6_7
关键词: Artificial intelligence 、 Filter (video) 、 Sequence 、 Artificial neural network 、 Pattern recognition 、 Sensory system 、 Computer science 、 Structure (mathematical logic) 、 Feature extraction
摘要: We are presenting a coupled modelling concept which is suitable to reproduce sensory systems in plausible way. The idea connect biological relevant Neural Network as filter with structured formal classify the filtered data. Because very flexible and self organized it has capacity make segmentation feature extraction of input data like pathway. So, temporal processes can be represented sequence prefiltered segments. produced time sequences suited for analysis by multi-stage construction classification network, modified Hypermap structure. presented system succesfully used speech recognition different subjects.
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