Cost basis is the original purchase price of an asset. Tracking cost basis is key to tax-efficient investing. Many, or all, of the products featured on this page are from our advertising partners who ...

Radial Basis Function Neural Networks (RBFNNs) are a type of neural network that combines elements of clustering and function approximation, making them powerful for both regression and classification ...

pwtools is a Python package for pre- and postprocessing of atomistic calculations, mostly targeted to Quantum Espresso, CPMD, CP2K and LAMMPS. It is almost, but not quite, entirely unlike ASE, with ...

Accurately approximating higher order derivatives is an inherently difficult problem. It is shown that a random variable shape parameter strategy can improve the accuracy of approximating higher order ...

Abstract: This paper presents an implementation of a neural network based on radial functions and evaluates its performance using general purpose microcontrollers. As an example, an application of EGC ...

Landslide prediction necessitates viewing the past, present, and future states of a slope as a constantly changing dialectical unity, with prediction laws derived from known past and present ...

Radial symmetry occurs around a central axis, so there are multiple lines of symmetry. A bicycle wheel is a great example! It is seen in animals and plants, particularly in flowers. You can also ...

1 Key Laboratory of Southeast Coast Marine Information Intelligent Perception and Application, Ministry of Natural Resources, Zhangzhou, China 2 School of Mathematics and Statistics, Xuzhou University ...

What Is Per-Share Basis? The per-share basis is a measurement used in the financial world to illustrate the quantity of something for one share of a company's stock. Such measures are used in the ...