The Radial Basis Function Neural Network (RBFNN) is frequently employed in artificial neural networks for diverse classification tasks, yet it encounters certain limitations, including issues related to network latency and local minima.To tackle these challenges, researchers have explored various algorithms to enhance learning performance and allev
The separation and utilization of radiotoxic 90Sr from liquid nuclear waste streams generated in the nuclear fuel reprocessing is highly desirable and challenging.Herein, we studied dibenzo-18-cown-6 functionalized chloromethyl-polystyrene (CMPS-DB18C6) resin which displays an excellent affinity toward Sr2+ion adsorption from aqueous solution.Adsor
This paper deals with recording and interpreting storm pourers a complex of petroglyphs at Dowzdaghi in the northern part of Iranian Azerbaijan in Northwestern Iran.The assemblage can be divided into four sub-assemblages; the designs and images depicted on the surfaces of isolated boulders usually constitute a panel and sometimes individual motifs
In this paper, we explore a terracotta disposable napkins process called neural teleportation, a mathematical consequence of applying quiver representation theory to neural networks.Neural teleportation teleports a network to a new position in the weight space and preserves its function.This phenomenon comes directly from the definitions of represe