✦ LIBER ✦

On-line prediction of fermentation variables using neural networks

✍ Scribed by Jules Thibault; Vincent Van Breusegem; Arlette Chéruy

Publisher: John Wiley and Sons
Year: 1990
Tongue: English
Weight: 714 KB
Volume: 36
Category: Article
ISSN: 0006-3592
DOI: 10.1002/bit.260361009

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Weekly milk prediction on dairy goats us

Weekly milk prediction on dairy goats using neural networks

✍ C. Fernández; E. Soria; P. Sánchez-Seiquer; L. Gómez-Chova; R. Magdalena; J. D. 📂 Article 📅 2006 🏛 Springer-Verlag 🌐 English ⚖ 382 KB

Constrained multi-variable generalized p

Constrained multi-variable generalized predictive control using a dual neural network

✍ Long Cheng; Zeng-Guang Hou; Min Tan 📂 Article 📅 2007 🏛 Springer-Verlag 🌐 English ⚖ 673 KB

Prediction of Hydroforming Characteristi

Prediction of Hydroforming Characteristics using Random Neural Networks

✍ M. A. Karkoub 📂 Article 📅 2006 🏛 Springer US 🌐 English ⚖ 451 KB

On-line learning of robot arm impedance

On-line learning of robot arm impedance using neural networks

✍ Toshio Tsuji; Yoshiyuki Tanaka 📂 Article 📅 2005 🏛 Elsevier Science 🌐 English ⚖ 565 KB

Impedance control is an effective control method for a manipulator that is in contact with its environment. Nevertheless, the characteristics of force and motion control are determined by impedance parameters of the end-effector of the manipulator, which must be designed according to the given task.

Control of continuous fed-batch fermenta

Control of continuous fed-batch fermentation process using neural network based model predictive controller

✍ A. Uma Maheshwar Kiran; Asim Kumar Jana 📂 Article 📅 2009 🏛 Springer 🌐 English ⚖ 394 KB

Prediction of pile bearing capacity usin

Prediction of pile bearing capacity using artificial neural networks

✍ In-Mo Lee; Jeong-Hark Lee 📂 Article 📅 1996 🏛 Elsevier Science 🌐 English ⚖ 694 KB