Soft computing approach to pattern classification and object recognition: a unified concept
Kumar S. Ray (Springer-Science, 2012)
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| The book also surveys various soft computing tools, fuzzy relational calculus (FRC), genetic algorithm (GA) and multilayer perceptron (MLP) to provide a strong foundation for the reader. The supervised approach to pattern classification and model-based approach to occluded object recognition are treated in one framework , one based on either a conventional interpretation or a new interpretation of multidimensional fuzzy implication (MFI) and a novel notion of fuzzy pattern vector (FPV). By combining practice and theory, a completely independent design methodology was developed in conjunction with this supervised approach on a unified framework, and then tested thoroughly against both synthetic and real-life data. In the field of soft computing, such an application-oriented design study is unique in nature. The monograph essentially mimics the cognitive process of human decision making, and carries a message of perceptual integrity in representational diversity. |
 Soft Computing Approach to Pattern Classification and Object Recognition.pdf :: Unduh
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| No. Panggil : | e20407794 |
| Entri utama-Nama orang : | |
| Subjek : | |
| Penerbitan : | New York: Springer-Science, 2012 |
| Sumber Pengatalogan: | LibUI eng rda |
| Tipe Konten: | text |
| Tipe Media: | computer |
| Tipe Pembawa: | online resource |
| Deskripsi Fisik: | |
| Tautan: | http://link.springer.com/book/10.1007%2F978-1-4614-5348-2 |
| Lembaga Pemilik: | |
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| No. Panggil | No. Barkod | Ketersediaan |
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| e20407794 | TERSEDIA |
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