Machine Intelligence and Signal Analysis

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,

Éditeur :

Springer


Collection :

Advances in Intelligent Systems and Computing

Paru le : 2018-08-07

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Description

The book covers the most recent developments in machine learning, signal analysis, and their applications. It covers the topics of machine intelligence such as: deep learning, soft computing approaches, support vector machines (SVMs), least square SVMs (LSSVMs) and their variants; and covers the topics of signal analysis such as: biomedical signals including electroencephalogram (EEG), magnetoencephalography (MEG), electrocardiogram (ECG) and electromyogram (EMG) as well as other signals such as speech signals, communication signals, vibration signals, image, and video. Further, it analyzes normal and abnormal categories of real-world signals, for example normal and epileptic EEG signals using numerous classification techniques. The book is envisioned for researchers and graduate students in Computer Science and Engineering, Electrical Engineering, Applied Mathematics, and Biomedical Signal Processing.
Pages
767 pages
Collection
Advances in Intelligent Systems and Computing
Parution
2018-08-07
Marque
Springer
EAN papier
9789811309229
EAN PDF
9789811309236

Informations sur l'ebook
Nombre pages copiables
7
Nombre pages imprimables
76
Taille du fichier
29430 Ko
Prix
210,99 €
EAN EPUB
9789811309236

Informations sur l'ebook
Nombre pages copiables
7
Nombre pages imprimables
76
Taille du fichier
20398 Ko
Prix
210,99 €