✦ LIBER ✦

Effective insulator maintenance scheduling using artificial neural networks

✍ Scribed by Karamousantas, D.C.; Chatzarakis, G.E.; Oikonomou, D.S.; Ekonomou, L.; Karampelas, P.

Book ID: 115532518
Publisher: The Institution of Engineering and Technology
Year: 2010
Tongue: English
Weight: 224 KB
Volume: 4
Category: Article
ISSN: 1751-8687
DOI: 10.1049/iet-gtd.2008.0657

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Scheduling of hydroelectric generations

Scheduling of hydroelectric generations using artificial neural networks

✍ Liang, R.-H.; Hsu, Y.-Y. 📂 Article 📅 1994 🏛 The Institution of Electrical Engineers 🌐 English ⚖ 547 KB

A bicriterian flow shop scheduling using

A bicriterian flow shop scheduling using artificial neural network

✍ A. Noorul Haq; T. Radha Ramanan 📂 Article 📅 2005 🏛 Springer 🌐 English ⚖ 136 KB

Multiple job scheduling with artificial

Multiple job scheduling with artificial neural networks

✍ Zhen-Ping Lo; Behnam. Bavarian 📂 Article 📅 1993 🏛 Elsevier Science 🌐 English ⚖ 935 KB

Artificial neural networks for flexible

Artificial neural networks for flexible manufacturing systems scheduling

✍ Serge Toure; Luis Rabelo; Tomas Velasco 📂 Article 📅 1993 🏛 Elsevier Science 🌐 English ⚖ 348 KB

Dispatching rule selection using artific

Dispatching rule selection using artificial neural networks for dynamic planning and scheduling

✍ Huajie Liu; Jian (John) Dong 📂 Article 📅 1996 🏛 Springer US 🌐 English ⚖ 978 KB

To schedule a job shop, the first task is to select an appropriate scheduling algorithm or rule. Because of the complexity of scheduling problems, no general algorithm sufficient for solving all scheduling problems has yet been developed. Most job-shop scheduling systems offer alternative algorithms

Job-shop scheduling using neural network

Job-shop scheduling using neural networks

✍ T. Watanabe; H. Tokumaru; Y. Hashimoto 📂 Article 📅 1993 🏛 Elsevier Science 🌐 English ⚖ 334 KB