✦ LIBER ✦

Synthesis of fault-tolerant feedforward neural networks using minimax optimization

✍ Scribed by Deodhare, D.; Vidyasagar, M.; Sathiya Keethi, S.

Book ID: 127054444
Publisher: IEEE
Year: 1998
Tongue: English
Weight: 303 KB
Volume: 9
Category: Article
ISSN: 1045-9227
DOI: 10.1109/72.712162

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Fault-tolerant design of neural networks

Fault-tolerant design of neural networks for solving optimization problems

✍ Tohma, Y.; Koyanagi, Y. 📂 Article 📅 1996 🏛 IEEE 🌐 English ⚖ 603 KB

Application of fault-tolerant neural net

Application of fault-tolerant neural networks in the synthesis of microwave devices

✍ Heriberto J. Delgado; Michael H. Thursby 📂 Article 📅 2005 🏛 Elsevier Science 🌐 English ⚖ 132 KB

A novel artificial neural network (ANN) suitable for computationally intensive problems is described in this paper. The usefulness of this ANN is demonstrated for the synthesis of a microstrip line. This ANN uses a standard neural network architecture consisting of a hetero-associative memory and ex

Optimization of Fischer-Tropsch Synthesi

Optimization of Fischer-Tropsch Synthesis Using Neural Networks

✍ F. A. N. Fernandes 📂 Article 📅 2006 🏛 John Wiley and Sons 🌐 English ⚖ 80 KB 👁 1 views

Robust Adaptive Dead Zone Technology for

Robust Adaptive Dead Zone Technology for Fault-Tolerant Control of Robot Manipulators Using Neural Networks

✍ Q. Song; W. J. Hu; L. Yin; Y. C. Soh 📂 Article 📅 2002 🏛 Springer Netherlands 🌐 English ⚖ 238 KB

Learning of a single-hidden layer feedfo

Learning of a single-hidden layer feedforward neural network using an optimized extreme learning machine

✍ Matias, Tiago; Souza, Francisco; Araújo, Rui; Antunes, Carlos Henggeler 📂 Article 📅 2014 🏛 Elsevier Science 🌐 English ⚖ 517 KB

Learning of a single-hidden layer feedfo

Learning of a single-hidden layer feedforward neural network using an optimized extreme learning machine

✍ Matias, Tiago; Souza, Francisco; Araújo, Rui; Antunes, Carlos Henggeler 📂 Article 📅 2014 🏛 Elsevier Science 🌐 English ⚖ 517 KB