Artificial Neural Networks (ANNs) and Response Surface Methodology (RSM) Approach for Modelling the Optimization of Chromium (VI) Reduction by Newly Isolated Acinetobacter Radioresistens Strain NS-MIE From Agricultural Soil

BioMed Research International - United States
doi 10.1155/2019/5785387
Full Text
Abstract

Available in full text

Date
Authors
Publisher

Hindawi Limited

Related search

Biodegradation of Cyanide Under Alkaline Conditions by a Strain of Pseudomonas Putida Isolated From Gold Mine Soil and Optimization of Process Variables Through Response Surface Methodology (RSM)

Periodica Polytechnica: Chemical Engineering
Chemical Engineering
2017English

Response Surface Methodology for Optimization of Biodiesel Production by Acinetobacter Baylyi

KMUTNB International Journal of Applied Science and Technology
2014English

Modeling and Efficiency Optimization of Steam Boilers by Employing Neural Networks and Response-Surface Method (RSM)

2019English

Optimization by Response Surface Methodology (RSM) of the Kharasch–Sosnovsky Oxidation of Valencene

Organic Process Research and Development
Organic ChemistryTheoretical ChemistryPhysical
2014English

Photocatalytic Degradation of Aspirin From Aqueous Solutions Using the UV/ZnO Process: Modelling, Analysis and Optimization by Response Surface Methodology (RSM)

2019English

Astaxanthin Production by Newly Isolated Rhodosporidium Toruloides: Optimization of Medium Compositions by Response Surface Methodology

Notulae Botanicae Horti Agrobotanici Cluj-Napoca
HorticulturePlant ScienceAgronomyCrop Science
2018English

Modeling of Throughput in Production Lines Using Response Surface Methodology and Artificial Neural Networks

Complexity
MultidisciplinaryComputer Science
2018English

Probabilistic Modelling of Compressive Strength of Concrete Using Response Surface Methodology and Neural Networks

Arabian Journal for Science and Engineering
Multidisciplinary
2014English

Optimization of Physical Conditions of Actinokinase Synthesis From Local Isolate Using Response Surface Methodology (RSM)

Journal of Applied Sciences
2019English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2024 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy