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Comparison of Genetic Programing, Radial Basis Function Network and Polynomial Equation Used for Response Surface Method for Catalyst Optimization
Genetic programing Cobalt-magnesia catalyst Methane dry reforming
2009/8/4
Preparation conditions of Co-MgO catalyst for methane dry reforming were optimized to maximize the CO yield. Response surface method, composed of design of experiment and regression method, was appli...
Genetic Algorithms and Ant Colony Approach for Gas-lift Allocation Optimization
Oil production Gas-lift Genetic algorithm Ant colony optimization
2009/8/4
Continuous gas-lift is one of the most commonly practiced artificial lift techniques. It assists production enhancement by continuous injection of high-pressure gas into the well tubing, which lighten...
Optimization of Cu-based Oxide Catalyst for Methanol Synthesis Using a Neural Network Trained by Design of Experiment
Combinatorial chemistry High-throughput screening Neural network
2009/7/23
Cu-Zn oxide catalyst for methanol synthesis was optimized using an activity map by neural network method. The catalyst composition was determined randomly and the training data were measured in a hig...
Optimization of Cu-based Oxide Catalyst for Methanol Synthesis by the Activity Map Envelope Derived from a Neural Network
Combinatorial chemistry High-throughput screening Genetic algorithm
2009/7/23
The combinatorial approach is a successful tool for material development and for heterogeneous catalyst development. Combinatorial tools were developed consisting of a high-throughput screening react...