Optimization of Weld Strength for Laser Transmission Welding of Thermoplastic Based on Response Surface Methodology and Genetic Algorithm-Artificial Neural Network

Response Surface ◽

Weld Strength ◽

Laser Transmission Welding ◽

Batch growth of Kluyveromyces lactis cells from deproteinized whey: Response surface methodology versus Artificial neural network—Genetic algorithm approach

Biochemical Engineering Journal ◽

10.1016/j.bej.2016.01.026 ◽

2016 ◽

Vol 109 ◽

pp. 305-311 ◽

Cited By ~ 14

Author(s):

Fábio Coelho Sampaio ◽

Tamara Lorena da Conceição Saraiva ◽

Gabriel Dumont de Lima e Silva ◽

Janaína Teles de Faria ◽

Cristiano Grijó Pitangui ◽

...

Keyword(s):

Neural Network ◽

Genetic Algorithm ◽

Response Surface ◽

Kluyveromyces Lactis ◽

Genetic Algorithm Approach ◽

Artificial Neural ◽

Batch Growth

Modeling and optimization of tannase production with Triphala in packed bed reactor by response surface methodology, genetic algorithm, and artificial neural network

3 Biotech ◽

10.1007/s13205-019-1763-z ◽

2019 ◽

Vol 9 (7) ◽

Cited By ~ 1

Author(s):

Subbalaxmi Selvaraj ◽

Ramachandra Murty Vytla ◽

G. S. Vijay ◽

Kannan Natarajan

Keyword(s):

Neural Network ◽

Genetic Algorithm ◽

Response Surface ◽

Packed Bed ◽

Packed Bed Reactor ◽

Modeling And Optimization ◽

Modeling and optimization of anaerobic codigestion of potato waste and aquatic weed by response surface methodology and artificial neural network coupled genetic algorithm

Bioresource Technology ◽

10.1016/j.biortech.2016.04.068 ◽

2016 ◽

Vol 214 ◽

pp. 386-395 ◽

Cited By ~ 64

Author(s):

Samuel Jacob ◽

Rintu Banerjee

Keyword(s):

Neural Network ◽

Genetic Algorithm ◽

Response Surface ◽

Aquatic Weed ◽

Modeling And Optimization ◽

Potato Waste ◽

Anaerobic Codigestion ◽

Optimization of process parameters for bio-enzymatic and enzymatic saccharification of waste broken rice for ethanol production using response surface methodology and artificial neural network–genetic algorithm

3 Biotech ◽

10.1007/s13205-020-02553-2 ◽

2021 ◽

Vol 11 (1) ◽

Author(s):

Payel Mondal ◽

Anup Kumar Sadhukhan ◽

Amit Ganguly ◽

Parthapratim Gupta

Keyword(s):

Neural Network ◽

Genetic Algorithm ◽

Ethanol Production ◽

Response Surface ◽

Process Parameters ◽

Enzymatic Saccharification ◽

Optimization Of Process Parameters ◽

Process optimization of catalytic steam reforming of toluene to hydrogen using response surface methodology (RSM) and artificial neural network-genetic algorithm (ANN-GA)

IOP Conference Series Materials Science and Engineering ◽

10.1088/1757-899x/991/1/012079 ◽

2020 ◽

Vol 991 ◽

pp. 012079

Author(s):

H S Mohidin Yahya ◽

N A Saidina Amin

Keyword(s):

Neural Network ◽

Genetic Algorithm ◽

Response Surface ◽

Process Optimization ◽

Steam Reforming ◽

Artificial Neural ◽

Steam Reforming Of Toluene ◽

Catalytic Steam Reforming

Comparison of optimization approaches (response surface methodology and artificial neural network‐genetic algorithm) for a novel mixed culture approach in soybean meal fermentation

Journal of Food Process Engineering ◽

10.1111/jfpe.13124 ◽

2019 ◽

Vol 42 (5) ◽

Cited By ~ 1

Author(s):

Runni Mukherjee ◽

Runu Chakraborty ◽

Abhishek Dutta

Keyword(s):

Neural Network ◽

Genetic Algorithm ◽

Response Surface ◽

Mixed Culture ◽

Soybean Meal ◽

Decolorization of crystal violet from aqueous solutions by a novel adsorbent chitosan/nanodiopside using response surface methodology and artificial neural network-genetic algorithm

International Journal of Biological Macromolecules ◽

10.1016/j.ijbiomac.2018.11.148 ◽

2019 ◽

Vol 124 ◽

pp. 429-443 ◽

Cited By ~ 22

Author(s):

Shima Ghanavati Nasab ◽

Abolfazl Semnani ◽

Abbas Teimouri ◽

Mehdi Javaheran Yazd ◽

Tahereh Momeni Isfahani ◽

...

Keyword(s):

Neural Network ◽

Genetic Algorithm ◽

Aqueous Solutions ◽

Response Surface ◽

Crystal Violet ◽

Process modeling and optimization of high yielding L-methioninase from a newly isolated Trichoderma harzianum using response surface methodology and artificial neural network coupled genetic algorithm

Biocatalysis and Agricultural Biotechnology ◽

10.1016/j.bcab.2018.11.032 ◽

2019 ◽

Vol 17 ◽

pp. 299-308 ◽

Cited By ~ 10

Author(s):

Nisha Salim ◽

A. Santhiagu ◽

K. Joji

Keyword(s):

Neural Network ◽

Genetic Algorithm ◽

Response Surface ◽

Process Modeling ◽

Trichoderma Harzianum ◽

Modeling And Optimization ◽

Optimization of an artificial neural network topology using coupled response surface methodology and genetic algorithm for fluidized bed drying

Computers and Electronics in Agriculture ◽

10.1016/j.compag.2010.09.014 ◽

2011 ◽

Vol 75 (1) ◽

pp. 84-91 ◽

Cited By ~ 49

Author(s):

Tayyeb Nazghelichi ◽

Mortaza Aghbashlo ◽

Mohammad Hossein Kianmehr

Keyword(s):

Neural Network ◽

Genetic Algorithm ◽

Response Surface ◽

Fluidized Bed ◽

Network Topology ◽

Fluidized Bed Drying ◽

Artificial Neural ◽

Coupled Response

Optimization of L-asparaginase production by Aspergillus terreus MTCC 1782 using response surface methodology and artificial neural network-linked genetic algorithm

Asia-Pacific Journal of Chemical Engineering ◽

10.1002/apj.520 ◽

2010 ◽

Vol 7 (2) ◽

pp. 212-220 ◽

Cited By ~ 29

Author(s):

Gurunathan Baskar ◽

Sahadevan Renganathan

Keyword(s):

Neural Network ◽

Genetic Algorithm ◽

Response Surface ◽

Aspergillus Terreus ◽