✦ LIBER ✦

Neural networks for detection and classification of walking pattern changes due to ageing

✍ Scribed by R. Begg; J. Kamruzzaman

Publisher: Springer Netherlands
Year: 2006
Tongue: English
Weight: 149 KB
Volume: 29
Category: Article
ISSN: 0158-9938
DOI: 10.1007/bf03178892

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

CLASSIFICATION OF WAVELET MAP PATTERNS U

CLASSIFICATION OF WAVELET MAP PATTERNS USING MULTI-LAYER NEURAL NETWORKS FOR GEAR FAULT DETECTION

✍ D. CHEN; W.J. WANG 📂 Article 📅 2002 🏛 Elsevier Science 🌐 English ⚖ 160 KB

A multi-layer perceptron pattern classifier is defined for wavelet map interpretation and its application is described as a tool for mechanical fault detection. As a key step, an instantaneous scale distribution is introduced for quantifying pattern features. Instead of directly inspecting complicat

Wide field imaging – I. Applications of

Wide field imaging – I. Applications of neural networks to object detection and star/galaxy classification

✍ S. Andreon; G. Gargiulo; G. Longo; R. Tagliaferri; N. Capuano 📂 Article 📅 2002 🏛 John Wiley and Sons 🌐 English ⚖ 868 KB

Artificial neural network pattern classi

Artificial neural network pattern classification of transient stability and loss of excitation for synchronous generators

✍ A.M. Sharaf; T.T. Lie 📂 Article 📅 1994 🏛 Elsevier Science 🌐 English ⚖ 593 KB

A novel artificial intelligence based neural network (ANN) global online fault detection, pattern classification, and relaying detection scheme for synchronous generators in interconnected electric utility networks is presented. The input discriminant vector comprises the fast Fourier transform (FFT

From image processing to classification:

From image processing to classification: II. Classification of electrophoretic patterns using self-organizing feature maps and feed-forward neural networks

✍ Can Keşmir; Dr. Ib Søndergaard; Kirsten Jensen 📂 Article 📅 1995 🏛 John Wiley and Sons 🌐 English ⚖ 654 KB

Using neural networks for the detection,

Using neural networks for the detection, extraction and pre-classification of spectra in objective prism images

✍ R. Smareglia; F. Pasian; M. Kontizas; E. Kontizas; A. Dapergolas 📂 Article 📅 1994 🏛 Elsevier Science 🌐 English ⚖ 720 KB

From image processing to classification:

From image processing to classification: IV. Classification of electrophoretic patterns by neural networks and statistical methods enable quality assessment of wheat varieties for breadmaking

✍ Kristen Jensen; Can Kesmir; Dr. Ib Søndergaard 📂 Article 📅 1996 🏛 John Wiley and Sons 🌐 English ⚖ 562 KB