Titlebook: Artificial Intelligence and Soft Computing; 16th International C Leszek Rutkowski,Marcin Korytkowski,Jacek M. Zurad Conference proceedings

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The Study of Architecture MLP with Linear Neurons in Order to Eliminate the “vanishing Gradient” Profferent neural network architectures and presents the proposition of new multilayer architecture with additional linear neurons, that is much easier to train that traditional MLP network and reduces effect of vanishing gradients. Efficiency of suggested approach has been confirmed by several exeriments.

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Conference proceedings 201774 submissions.  The papers included in the first volume are organized in the following five parts: neural networks and their applications; fuzzy systems and their applications; evolutionary algorithms and their applications; computer vision, image and speech analysis; and bioinformatics, biometrics and medical applications..

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https://doi.org/10.1007/978-3-531-92455-7e element method in time and space, then transcribed into a nonlinear programming problems. To find optimal controls and optimal trajectories ESNs adaptive critic designs are used to approximate co-state equations. The efficiency of our approach is demonstrated for a SIR distributed system to control the spread of diseases.

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