Titlebook: Neural Information Processing; 20th International C Minho Lee,Akira Hirose,Rhee Man Kil Conference proceedings 2013 Springer-Verlag Berlin

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書目名稱Neural Information Processing影響因子(影響力)




書目名稱Neural Information Processing影響因子(影響力)學(xué)科排名




書目名稱Neural Information Processing網(wǎng)絡(luò)公開度




書目名稱Neural Information Processing網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Neural Information Processing被引頻次




書目名稱Neural Information Processing被引頻次學(xué)科排名




書目名稱Neural Information Processing年度引用




書目名稱Neural Information Processing年度引用學(xué)科排名




書目名稱Neural Information Processing讀者反饋




書目名稱Neural Information Processing讀者反饋學(xué)科排名

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NeuCube Neuromorphic Framework for Spatio-temporal Brain Data and Its Python Implementation,ar design, extensibility, scalability, the source of the biologically inspired spatial structure, encoding, classification, and visualisation tools must be considered. A Python version of this framework that conforms to these guidelines has been implemented.

痛苦一生

Vector Quantization Using Mixture of Epsilon-Insensitive Components,e-distortion functions associated with the .-insensitive loss function. Then the robustness property of the mixture of .-insensitive component distributions is demonstrated in a multi-dimensional mixture modelling problem.

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0302-9743 itutes the proceedings of the 20th International Conference on Neural Information Processing, ICONIP 2013, held in Daegu, Korea, in November 2013. The 180 full and 75 poster papers presented together with 4 extended abstracts were carefully reviewed and selected from numerous submissions. These pape

優(yōu)雅

A Method to Deal with Prospective Risks at Home in Robotic Observations by Using a Brain-Inspired Med on the appropriate context. More importantly, the Causality Map takes into account the dynamical aspects of physical attributes (e.g. the decreasing temperature of a hot pot). Our case studies showed that this is a satisfactory solution for predicting many risky situations at home.

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