Neural Networks for Modelling and Predicting the Chlorella Protothecoides Cultivation Processes

GY Zhang, SY Guo, L Li, WB Zhou, MY Cai - … , 3–6 July 2000 in Hong Kong, 2001 - Springer
The availability of estimators in the algal cultivation processes can lead to improving
prediction and optimization. In this study a new simulation method is introduced into the field …

[图书][B] Enhancements for model predictive control and inferential measurement

S Bhartiya - 2000 - search.proquest.com
Scope and method of study. The purpose of this study was to examine use of improved
models for model predictive control (MPC) and inferential measurement. The study …

[PDF][PDF] Instrumentation and control of anaerobic digestion processes: a review and some research challenges

JJELJ Harmand, A Robles, JFDGC Wolf, F Mairet… - 2015 - researchgate.net
To enhance energy production from methane or resource recovery from digestate,
anaerobic digestion processes require advanced instrumentation and control tools. Over the …

[PDF][PDF] Critical remarks on monitoring and control of technical scale biogas plants

A Wolfsberger, AM Domnanovich, P Holubar - cropgen.soton.ac.uk
Energy production from sewage sludge, solid wastes and energy crops by anaerobic
digestion is a widely used practice. However, due to the risk of process-overload, technical …

NEURAL NETWORKS FOR MODELLING AND PREDICTING THE CHLORELLA PROTOTHECOIDES CULTIVATION PROCESSES

Z GY, L SY GUO, Z WB - Algae and their Biotechnological …, 2013 - books.google.com
The availability of estimators in the algal cultivation processes can lead to improving
prediction and optimization. In this study a new simulation method is introduced into the field …

[PDF][PDF] Aprovechamiento integral del Hesperaloe funifera mediante fraccionamiento de sus componentes

RS Serrano - 2010 - researchgate.net
La siguiente persona a la que debo agradecer su apoyo y consejos es D. Alejandro
Rodríguez, no solo por la dirección de este trabajo si no porque me ha mostrado el camino …

[PDF][PDF] Elevating Model Predictive Control Using Feedforward Artificial Neural Networks: A

SK Arumugasamy, Z Ahmad - 2009 - researchgate.net
Process control in the field of chemical engineering has always been a challenging task for
the chemical engineers. Hence, the majority of processes found in the chemical industries …

Soft computing for tool life prediction a manufacturing application of neural-fuzzy systems

CI Emmanouilidis - 1997 - etheses.dur.ac.uk
Tooling technology is recognised as an element of vital importance within the manufacturing
industry. Critical tooling decisions related to tool selection, tool life management, optimal …

Modeling, instrumentation, automation, and optimization of wastewater treatment facilities

JC Kabouris - Water environment research, 1998 - JSTOR
Mechanistic Models. Kuba et al (1997) studied data from a bench-scale sequencing batch
reactor (SBR) with short repeti tive anaerobic-oxic (AJO) and anaerobic-anoxic (A2) cycling …

Chemicals and allied products

YT Hung, LK Wang, HH Lo - Water environment research, 1998 - JSTOR
Under a new rule announced by President Clinton on Earth Day, April 22, 1997, 6 100
facilities, which include chemical and allied product wholesalers, bulk petroleum terminals …