Spiking neural network (SNN) is considered to be the brain-like model that best conforms to the biological mechanism of the brain.Due to Deck Spindles the non-differentiability of the spike, the training method of SNNs is still incomplete.This paper proposes a supervised learning method for SNNs based on associative learning: ALSA.The method is bas
Influences of Seasoned Equity Offerings on Stock Return of Ho Chi Minh Market
This paper investigated the impact of seasoned equity offerings (SEO) on stock return of listed companies in Ho Chi Minh City market using the method “event study” which has been basically formed by Campbell, Lo, and MacKinlay (1997).The sample includes 332 SEOs from 2007 to 2010.The main findings show evidence that Hayward SP1091 Skimm
Optimal Energy Management of V2B with RES and ESS for Peak Load Minimization
In order to decrease fuel consumption and greenhouse gas emissions, electric vehicles (EVs) are being widely adopted as a future transportation system.Accordingly, increasing the number of EVs will mean battery charging will have a significant impact on the power grid.In order to manage Seal EV charging, an intelligent charging strategy is required
Utility function applied to interregional cooperation: case of the ASEM
This article presents one possible point of view on Hayward SP1091 Skimmer Parts the interregional cooperation through the optic of neorealist and neoliberal international relation theories.Applying the constructivist approach to utility function and creating utility function of regions, the author aims to explain the reasons of difficulties of int