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Class imbalance problem refers to unequal distribution of data instances between classes. Due to this, popular classifiers misclassify data instances of minority class into majority class. Initially, Extreme learning machine was proposed with the prime objective of handling real valued datasets. Though, it a fast learning technique, it suffers from the drawback of misclassification of imbalanced dataset...
Hybridization has become one of the current focuses of new research areas of the evolutionary algorithms over the past few years. Hybridization offers better speed of convergence to the evolutionary approach and better accuracy of the final solutions. This paper presents a hybrid non-dominated sorting genetic algorithm-II (NSGA-II) to optimize Three-Term Backpropagation (TBP) network in terms of two...
The weather changes easily these days, that is difficult to predict. Yet, weather forecasting is the important and useful thing in all aspects of life for instance, in the agriculture field to decide the time of planting. Thus, weather forecast of rain fall intensity particularly in region of Kemayoran Jakarta is conducted in this research. The forecast system built uses Hybrid Genetic Algorithm (GA)...
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