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The Study of Architecture MLP with Linear Neurons in Order to Eliminate the "vanishing Gradient" Problem.

, , and . ICAISC (1), volume 10245 of Lecture Notes in Computer Science, page 97-106. Springer, (2017)

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Implementation of Deep Neural Networks for Industry Applications., , , and . IECON, page 2717-2722. IEEE, (2018)A Novel RBF Training Algorithm for Short-Term Electric Load Forecasting and Comparative Studies., , , , and . IEEE Trans. Ind. Electron., 62 (10): 6519-6529 (2015)PolyNet: A Polynomial-Based Learning Machine for Universal Approximation., , and . IEEE Trans. Ind. Informatics, 11 (3): 708-716 (2015)Neural Networks Saturation Reduction., , , and . ICAISC (1), volume 10841 of Lecture Notes in Computer Science, page 108-117. Springer, (2018)The Method of GMPLS Network Reliability Evaluation., and . IP&C, volume 84 of Advances in Intelligent and Soft Computing, page 417-424. Springer, (2010)The Study of Architecture MLP with Linear Neurons in Order to Eliminate the "vanishing Gradient" Problem., , and . ICAISC (1), volume 10245 of Lecture Notes in Computer Science, page 97-106. Springer, (2017)Soft Patterns Reduction for RBF Network Performance Improvement., , , and . ICAISC (1), volume 10841 of Lecture Notes in Computer Science, page 190-200. Springer, (2018)Nonlinear System Modeling Using RBF Networks for Industrial Application., , , and . IEEE Trans. Ind. Informatics, 14 (3): 931-940 (2018)Single Layer Feedforward Networks Construction Based on Orthogonal Least Square and Particle Swarm Optimization., , and . ICAISC (1), volume 9692 of Lecture Notes in Computer Science, page 158-169. Springer, (2016)The weighted graphs approach for the GMPLS network reliability enhancement., and . ICUMT, page 608-614. IEEE, (2010)