Titlebook: Brain-Inspired Information Technology; Akitoshi Hanazawa,Tsutom Miki,Keiichi Horio Book 2010 Springer-Verlag Berlin Heidelberg 2010 Inform

CLAST

書目名稱Brain-Inspired Information Technology影響因子(影響力)




書目名稱Brain-Inspired Information Technology影響因子(影響力)學(xué)科排名




書目名稱Brain-Inspired Information Technology網(wǎng)絡(luò)公開度




書目名稱Brain-Inspired Information Technology網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Brain-Inspired Information Technology被引頻次




書目名稱Brain-Inspired Information Technology被引頻次學(xué)科排名




書目名稱Brain-Inspired Information Technology年度引用




書目名稱Brain-Inspired Information Technology年度引用學(xué)科排名




書目名稱Brain-Inspired Information Technology讀者反饋




書目名稱Brain-Inspired Information Technology讀者反饋學(xué)科排名

lethargy

反對

Die Sammlung — Nutzbarmachung und Funktionn on audiovisual ESNN for the person authentication problem. Preliminary results show that the integrated system can improve the accuracy in many operation points as well as it enables a range of multi-criteria optimizations.

parsimony

Monetary Transmission in the Indian Economyls. Applications of the proposed method to some benchmark optimization problems well demonstrate its effectiveness. Our experimental results indicate that the former fitness function can generate a PSO model with higher fitness, and the latter can generate a PSO model with faster convergence.

critique

Seizure

https://doi.org/10.1007/978-1-349-27931-9e-timing-dependent plasticity (STDP) rule. As a result, the MPP synaptic weight was enhanced and the LPP synaptic weight was rather depressed. This suggests that LPP signal conveying non-spatial information promotes enhancement of MPP synaptic weight where spatial information passes through.

農(nóng)學(xué)

Brain-Like Evolving Spiking Neural Networks for Multimodal Information Processing,n on audiovisual ESNN for the person authentication problem. Preliminary results show that the integrated system can improve the accuracy in many operation points as well as it enables a range of multi-criteria optimizations.

Irritate

Effect of Fitness Functions on the Performance of Evolutionary Particle Swarm Optimization,ls. Applications of the proposed method to some benchmark optimization problems well demonstrate its effectiveness. Our experimental results indicate that the former fitness function can generate a PSO model with higher fitness, and the latter can generate a PSO model with faster convergence.

Rotator-Cuff

過濾