Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Intelligent Optimisation Techniques: Genetic Algorithms, Tabu Search, Simulated Annealing and Neural Networks
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Information Sciences: an International Journal
Hybrid Taguchi-genetic algorithm for global numerical optimization
IEEE Transactions on Evolutionary Computation
IEEE Transactions on Information Technology in Biomedicine
Tuning the structure and parameters of a neural network by using hybrid Taguchi-genetic algorithm
IEEE Transactions on Neural Networks
An ANFIS-based model for predicting adequacy of vancomycin regimen using improved genetic algorithm
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Hi-index | 12.05 |
In this paper, an artificial neural network (ANN) model with the genetic algorithm (GA) is used to predict the platelet transfusion requirements for the acute myeloblastic leukemia (AML) patients. The hybrid Taguchi-genetic algorithm (HTGA) is applied in this ANN to find the optimal parameters (i.e., weights of links and biases govern the input-output relationship of an ANN) by directly maximizing the training accuracy performance criterion. Experimental results show that the HTGA-based ANN model outperforms the ANN model with backpropagation algorithm given in the Matlab toolbox in terms of prediction accuracy. Therefore, this study demonstrated the feasibility of applying the HTGA-based ANN as the mechanism of the decision support systems for the platelet transfusion requirements of the AML patients based on clinical databases.