✦ LIBER ✦

Complex-valued neural networks for nonlinear complex principal component analysis

✍ Scribed by Sanjay S.P. Rattan; William W. Hsieh

Publisher: Elsevier Science
Year: 2005
Tongue: English
Weight: 315 KB
Volume: 18
Category: Article
ISSN: 0893-6080
DOI: 10.1016/j.neunet.2004.08.002

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

An augmented CRTRL for complex-valued re

An augmented CRTRL for complex-valued recurrent neural networks

✍ Su Lee Goh; Danilo P. Mandic 📂 Article 📅 2007 🏛 Elsevier Science 🌐 English ⚖ 666 KB

Real world processes with an "intensity" and "direction" component can be made complex by convenience of representation (vector fields, radar, sonar), and their processing directly in the field of complex numbers C is not only natural but is also becoming commonplace in modern applications. Yet, ada

Analysis, synthesis, and diagnostics of

Analysis, synthesis, and diagnostics of antenna arrays through complex-valued neural networks

✍ J. C. Brégains; F. Ares 📂 Article 📅 2006 🏛 John Wiley and Sons 🌐 English ⚖ 107 KB

Spectral quantitation by principal compo

Spectral quantitation by principal component analysis using complex singular value decomposition

✍ Mark A. Elliott; Glenn A. Walter; Alex Swift; Krista Vandenborne; John C. Schotl 📂 Article 📅 1999 🏛 John Wiley and Sons 🌐 English ⚖ 80 KB 👁 2 views

Performance of neural networks for predi

Performance of neural networks for predicting yarn properties using principal component analysis

✍ R. Chattopadhyay; Anirban Guha; Jayadeva 📂 Article 📅 2003 🏛 John Wiley and Sons 🌐 English ⚖ 77 KB 👁 2 views

Artificial neural networks based on prin

Artificial neural networks based on principal component analysis, fuzzy systems and fuzzy neural networks for preliminary design of rubble mound breakwaters

✍ Can Elmar Balas; M. Levent Koç; Rıfat Tür 📂 Article 📅 2010 🏛 Elsevier Science 🌐 English ⚖ 566 KB

A nonlinear neural network model of mixt

A nonlinear neural network model of mixture of local principal component analysis: application to handwritten digits recognition

✍ Bailing Zhang; Minyue Fu; Hong Yan 📂 Article 📅 2001 🏛 Elsevier Science 🌐 English ⚖ 358 KB

Principal component analysis (PCA) is a popular tool in multivariate statistics and pattern recognition. Recently, some mixture models of local principal component analysis have attracted attention due to a number of bene"ts over global PCA. In this paper, we propose a mixture model by concurrently