Abstract: This paper introduces a new family of reformulated radial basis function (RBF) neural networks, which are referred to as cosine RBFs. These RBF models are developed by relaying upon an ...
ABSTRACT: In this paper, based on the theories of α-times Integrated Cosine Function, we discuss the approximation theorem for α-times Integrated Cosine Function and conclude the approximation theorem ...
This repository contains code for predicting the next value of the cosine function using neural networks. The goal is to demonstrate how neural networks can be utilized for time series prediction ...
ABSTRACT: In this paper, based on the theories of α-times Integrated Cosine Function, we discuss the approximation theorem for α-times Integrated Cosine Function and conclude the approximation theorem ...
Abstract: This paper systematically investigates the trigonometric functions from the exponential function point of view. After recalling the classical exponential function, the Mittag-Leffler ...
Since technology is not going anywhere and does more good than harm, adapting is the best course of action. That is where The Tech Edvocate comes in. We plan to cover the PreK-12 and Higher Education ...
Notifications You must be signed in to change notification settings Sine Cosine Algorithm to Minimize Functions with Continuous Variables. The function returns: 1) An array containing the used value(s ...
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