Neural networks, fuzzy logic, and genetic algorithms : synthesis and applications

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Modelling nonlinear trend for developing non‐stationary rainfall intensity–duration–frequency curve (2017, methodology): “37: 1265–1281 (2017) reader is referred to Deb et al. (2002); Rajasekaran and Vijayalakshmi (2003) and Wu et al. (2012).”
Integrating metaheuristics and Artificial Neural Networks for improved stock price prediction (2016, background): “In literature, binary encoding is the most commonly used in A and gives many possible chromosomes even with small number f alleles (Rajasekaran & Pai, 2003).”
Prediction of optimized pretreatment process parameters for biodiesel production using ANN and GA (2009, background): “The activation function of hidden and output layer neurons was sigmoidal function and the learning rule was back propagation rule [10,12,16].”