✦ LIBER ✦

A complex nonlinear exponential autoregressive model approach to shape recognition using neural networks

✍ Scribed by Shen-Shu Xiong; Zhao-Ying Zhou

Book ID: 114544755
Publisher: IEEE
Year: 2000
Tongue: English
Weight: 121 KB
Volume: 49
Category: Article
ISSN: 0018-9456
DOI: 10.1109/19.893274

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Robust Nonlinear Autoregressive Moving A

Robust Nonlinear Autoregressive Moving Average Model Parameter Estimation Using Stochastic Recurrent Artificial Neural Networks

✍ K. H. Chon; D. Hoyer; A. A. Armoundas; N-H. Holstein-Rathlou; D. J. Marsh 📂 Article 📅 1999 🏛 Springer 🌐 English ⚖ 191 KB

Hybrid approaches to frontal view face r

Hybrid approaches to frontal view face recognition using the hidden Markov model and neural network

✍ Kang Sik Yoon; Young Kug Ham; Rae-Hong Park 📂 Article 📅 1998 🏛 Elsevier Science 🌐 English ⚖ 847 KB

Affine modeling of nonlinear multivariab

Affine modeling of nonlinear multivariable processes using a new adaptive neural network-based approach

✍ Amin Sabet Kamalabady; Karim Salahshoor 📂 Article 📅 2009 🏛 Elsevier Science 🌐 English ⚖ 786 KB

This paper presents a new method for on-line identification of exact affine model for multivariable processes with nonlinear and time-varying behaviors. A self-generating radial basis function (RBF) neural network trained by growing and pruning algorithm for RBF (GAP-RBF) is utilized for deriving th

Modeling complex nonlinear responses of

Modeling complex nonlinear responses of shallow lakes to fish and hydrology using artificial neural networks

✍ Can Ozan Tan; Meryem Beklioglu 📂 Article 📅 2006 🏛 Elsevier Science 🌐 English ⚖ 564 KB

A method for designing neural networks u

A method for designing neural networks using nonlinear multivariate analysis—application to speaker-independent vowel recognition

✍ Toshio Irino; Hideki Kawahara 📂 Article 📅 1990 🏛 John Wiley and Sons 🌐 English ⚖ 659 KB

A surface-based approach to 3-D object r

A surface-based approach to 3-D object recognition using a mean field annealing neural network

✍ Yang-Lyul Lee; Rae-Hong Park 📂 Article 📅 2002 🏛 Elsevier Science 🌐 English ⚖ 729 KB

Three-dimensional (3-D) object recognition identi"es objects in an input image using a modelbase. We present a 3-D object recognition system, in which a symbolic description of the object is generated from the input range data, in terms of the visible surface patches. The segmented surface represent