NEURAL NETWORK TRAINING WITH ASYMMETRIC CROSSPOINT ELEMENTS

Neural Network Training With Asymmetric Crosspoint Elements

Analog crossbar arrays comprising programmable non-volatile resistors are Caps under intense investigation for acceleration of deep neural network training.However, the ubiquitous asymmetric conductance modulation of practical resistive devices critically degrades the classification performance of networks trained with conventional algorithms.Here

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Classification of Streaming Fuzzy DEA Using Self-Organizing Map

The classification of fuzzy data is considered as the most challenging areas of data Swim Tops analysis and the complexity of the procedures has been obstacle to the development of new methods for fuzzy data analysis.However, there are significant advances in modeling systems in which fuzzy data are available in the field of mathematical programmin

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