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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...
A New Approach Using Temporal Radial Basis Function in Chronological Series
Temporal RBF Classification Spatio-Temporal
2009/7/28
In this paper, we present an extended form of Radial Basis Function network called Temporal-RBF (T-RBF) network. This extended network can be used in decision rules and classification in Spatio-Tempor...
Design of Cu-Zn-Al-Sc Oxide Catalyst for Methanol Synthesis Using Genetic Algorithm Based on Radial Basis Function Network as the Evaluation Function
Combinatorial chemistry High throughput screening Genetic algorithm
2009/7/24
Optimization of catalyst composition using a genetic algorithm (GA) is intended to increase the activity in a series of repetitive steps consisting of determination of the composition, catalyst prepa...