Envagelica Micheli-Tzanakou – Supervised and Unsupervised Pattern Recognition
Envagelica Micheli-Tzanakou – Supervised and Unsupervised Pattern Recognition
Envagelica Micheli-Tzanakou – Supervised and Unsupervised Pattern Recognition
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Description
ENVAGELICA MICHELI-TZANAKOU – SUPERVISED AND UNSUPERVISED PATTERN RECOGNITION
Supervised and Unsupervised Pattern Recognition is one of the few books on neural networks that include both feature extraction and computational intelligence. The application of a novel pattern recognition scheme to the classification of images is described in this volume. It’s not like it’s like it’s like it’s like it’s like it’s like it’s like it’s like it’s like it’s like it’s like it’s like it’s like it’s like it A collection of recent research begins with an introduction to Neural Networks. It addresses fuzzy neural networks and their applications to handwritten character recognition and recognition of normal and abnormal visual evoked potentials. The third section deals with advanced neural network architectures, including modular design, and their applications to medicine and three-dimensional NN architecture brain functions. The establishment of a brain-Computer link, speaker identification, and face recognition are some of the general applications discussed in the final section. It’s not like it’s like it’s like it’s like it’s like it’s like it’s like it’s like it’s like it’s like it’s like it’s like it’s like it’s like it Every discovery is significant in the field of computational intelligence. Supervised and Unsupervised pattern recognition gives you access to many findings.
This book is a great source of information on state-of-the-art feature extraction, supervised learning and training schemes, and exciting applications of signal and image analysis. Tonglei Li is a faculty member at the school of pharmacy. The book describes the efforts that were made in a number of communities to find solutions to pattern recognition problems. Unlike other books in neural networks, this book gives an emphasis on feature extraction, which provides a systematic way to deal with pattern recognition problems. This list is helpful to a broad audience of graduate students, researchers, practicing engineers and professionals in computer and information science, electrical engineering, and biomedical informatics. The National Laboratory of Machine Perception and The Center for Information Science are located in Beijing, China. There is a promo copy.
Supervised and Unsupervised Pattern Recognition is available for download.
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