Parallel, self-organizing, hierarchical neural networks
نویسندگان
چکیده
منابع مشابه
Parallel, Probabilistic, Self-organizing, Hierarchical Neural Networks
Valafar, Fararnarz. Ph.D., Purdue University, August 1993. PARALLEL PROBABILISTIC SELF-ORGANIZING HIERARCHICAL NEURAL NETWORKS. Major Professor: Okan K. Ersoy. A new neural network architecture called the Parallel Probabilistic Self-organizing Hierarchical Neural Network (PPSHNN) is introduced. The PPSHNN is designed to solve complex classification problems, by dividing the input vector space i...
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The PNS module is discussed as the building block for the synthesis of parallel, selforganizing, hierarchical, neural networks (PSHNN). The PNS consists of a prerejector (P-unit), a neural network (N-unit) and a statistical analysis unit (S-unit). The last two units together are also referred to as the NS unit. The Pand NS-units are fractile in nature, meaning that each such unit may itself con...
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Due to large datavolumes when remote sensing or other kind of images are used, there is need for methods to decrease the volume of data. Methods for decreasing the feature dimension, in other words number of channels, are called feature selection and feature extraction. In the feature selection, important channels are selected using some search technique and these channels are used for current ...
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ژورنال
عنوان ژورنال: IEEE Transactions on Neural Networks
سال: 1990
ISSN: 1045-9227
DOI: 10.1109/72.80229