Particle swarm optimization (PSO) is an evolutionary algorithm that is well known for its simplicity and effectiveness.It usually has strong global search capability but has the drawback of being easily trapped by local optima.A scaling mutation strategy and an elitist learning strategy are presented in this paper.Based on these strategies, an impr

Due to the powerful ability of data fitting, deep neural networks have been applied in a wide range of applications in many key areas.However, in recent years, it was found that some adversarial samples easily fool the deep neural networks.These input samples are generated by adding a few small perturbations based on the original sample, making a v

Cultural marks in the environment imply how the symbolic and real, and the absent and present are ps5 price ottawa linked in our readings of the environment.The relations between these can also be expressed while writing places: while making them present with some mode of showing or telling.Although verbally written places are often considered to b

Kemiskinan merupakan masalah yang mendasar, kemiskinan bisa berakibat pada terhambatnya pembangunan nasional.Ada beberapa aspek yang sgt grit discount coupon berkaitan dengan kemiskinan yaitu faktor ekonomi, politik, dan psikososial.Secara ekonomi, kemiskinan diartikan sebagai kurangnya sumber daya untuk memenuhi kebutuhan hidup dan meningkatkan ke

Abstract This paper presents a method to estimate the covariances of the inputs in a factor-graph formulation for localization under non-line-of-sight conditions.A general solution based on covariance estimation and M-estimators in linear regression problems, is presented that is shown to give fendi wide belt unbiased estimators of multiple varianc