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Computation of multilayer perceptron sensitivity to input perturbation., , and . Neurocomputing, (2013)A New Supervised Learning Algorithm for Spiking Neurons., , and . Neural Computation, 25 (6): 1472-1511 (2013)An Adaptive Construction Test Method Based on Geometric Calculation for Linearly Separable Problems., , , , , and . ICCCS (6), volume 11068 of Lecture Notes in Computer Science, page 392-405. Springer, (2018)A quantified sensitivity measure of Radial Basis Function Neural Networks to input variation., , , and . IJCNN, page 1-6. IEEE, (2010)Effective Neural Network Ensemble Approach for Improving Generalization Performance., , , and . IEEE Trans. Neural Netw. Learning Syst., 24 (6): 878-887 (2013)A sensitivity-based approach for pruning architecture of Madalines., , , and . Neural Computing and Applications, 18 (8): 957-965 (2009)Approximate computation of Madaline sensitivity based on discrete stochastic technique., , , and . SCIENCE CHINA Information Sciences, 53 (12): 2399-2414 (2010)A Sensitivity-Based Training Algorithm with Architecture Adjusting for Madalines., , , and . SMC, page 4586-4591. IEEE, (2009)An ensemble algorithm with self-adaptive learning techniques for high-dimensional numerical optimization., , , and . Applied Mathematics and Computation, (2014)A Hybrid Evolutionary Algorithm for Numerical Optimization Problem., , , and . Intelligent Automation & Soft Computing, 21 (4): 473-490 (2015)