✦ LIBER ✦

Recursive identification using feedforward neural networks

✍ Scribed by Levin, Asriel; Narendra, Kumpati

Book ID: 121401268
Publisher: Taylor and Francis Group
Year: 1995
Tongue: English
Weight: 528 KB
Volume: 61
Category: Article
ISSN: 0020-7179
DOI: 10.1080/00207179508921916

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Hammerstein model identification by mult

Hammerstein model identification by multilayer feedforward neural networks

✍ AL-DUWAISH, H.; NAZMUL KARIM, M.; CHANDRASEKAR, V. 📂 Article 📅 1997 🏛 Taylor and Francis Group 🌐 English ⚖ 297 KB

NON-LINEAR SYSTEM IDENTIFICATION USING L

NON-LINEAR SYSTEM IDENTIFICATION USING LUMPED PARAMETER MODELS WITH EMBEDDED FEEDFORWARD NEURAL NETWORKS

✍ YIMIN FAN; C. JAMES LI 📂 Article 📅 2002 🏛 Elsevier Science 🌐 English ⚖ 320 KB

This paper describes a new methodology to identify multi-degree-of-freedom non-linear systems from the system's operating data. The methodology includes a new non-linear model architecture which embeds feedforward neural networks to represent unknown nonlinearities in a lumped parameter model, and a

Feedforward Neural Network Construction

Feedforward Neural Network Construction Using Cross Validation

✍ Setiono, Rudy 📂 Article 📅 2001 🏛 MIT Press 🌐 English ⚖ 89 KB

Facial expression recognition using cons

Facial expression recognition using constructive feedforward neural networks

✍ Ma, L.; Khorasani, K. 📂 Article 📅 2004 🏛 IEEE 🌐 English ⚖ 555 KB

Shape from focus using multilayer feedfo

Shape from focus using multilayer feedforward neural networks

✍ Asif, M.; Tae-Sun Choi 📂 Article 📅 2001 🏛 IEEE 🌐 English ⚖ 121 KB

Use of multilayer feedforward neural net

Use of multilayer feedforward neural networks in identification and control of Wiener model

✍ Al-Duwaish, H.; Karim, M.N.; Chandrasekar, V. 📂 Article 📅 1996 🏛 The Institution of Electrical Engineers 🌐 English ⚖ 438 KB