Data Mining: Multimedia, Soft Computing, and Bioinformatics
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Page 46
... neurons equal to the number of features and the output layer has neurons equal to the number of classes can be used to tackle this classification problem . Here the importance of different features will automatically be encoded in the ...
... neurons equal to the number of features and the output layer has neurons equal to the number of classes can be used to tackle this classification problem . Here the importance of different features will automatically be encoded in the ...
Page 50
... neurons having interconnec- tions with the ith neuron , wki denotes the fixed feedback coupling between the kth and ith neurons , σ [ . ] is a suitable sigmoidal output function , t denotes a discrete time index , and T stands for the ...
... neurons having interconnec- tions with the ith neuron , wki denotes the fixed feedback coupling between the kth and ith neurons , σ [ . ] is a suitable sigmoidal output function , t denotes a discrete time index , and T stands for the ...
Page 55
... neurons : neurons are designed to perform various operations used in fuzzy set theory ( like fuzzy union , intersection , aggregation ) instead of the standard multiplication and addition operations [ 49 , 50 , 51 ] . 4. Using measures ...
... neurons : neurons are designed to perform various operations used in fuzzy set theory ( like fuzzy union , intersection , aggregation ) instead of the standard multiplication and addition operations [ 49 , 50 , 51 ] . 4. Using measures ...
Contents
Soft Computing | 37 |
Multimedia Data Compression | 89 |
standard | 129 |
Copyright | |
9 other sections not shown
Other editions - View all
Data Mining: Multimedia, Soft Computing, and Bioinformatics Sushmita Mitra,Tinku Acharya Limited preview - 2005 |
Data Mining: Multimedia, Soft Computing, and Bioinformatics Sushmita Mitra,Tinku Acharya No preview available - 2005 |
Common terms and phrases
applications approach association rules ATATA binary Bioinformatics Boyer-Moore algorithm C₁ categorical classification clustering coding coefficients color components computational complexity content-based image retrieval corresponding data compression data mining database dataset decision tree decoder defined dictionary distance document domain efficient encoder outputs entropy entropy encoding evaluation example extracted feature fuzzy sets gene Hence Huffman code IEEE Transactions image retrieval initial input integer involving JPEG Karp-Rabin knowledge discovery knowledge-based network learning length linguistic matching algorithms matrix measure method mismatch Mitra multimedia data neural networks neuro-fuzzy neurons objects occurrence optimal partition pattern matching pixel prediction prefix protein pruning quantization query represented result rough set sample Section sequence shown in Fig soft computing split statistical string matching structure substring suffix symbol Table techniques text mining transformed vector wavelet Web mining weights