Abstract: This article introduces output prediction methods for two types of systems containing sinusoidal-input uniformly convergent (SIUC) elements. The first method considers these elements in ...

Learn what is Linear Regression Cost Function in Machine Learning and how it is used. Linear Regression Cost function in Machine Learning is "error" representation between actual value and model ...

Functions and linear equations form the bedrock of algebra and calculus, disciplines that are fundamental to understanding quantitative relationships across various fields. From physics and ...

How neurons transform inputs into outputs is a fundamental building block of brain computation. Here, we measure neurons’ IO functions in the awake and intact brain, where ongoing network activity ...

I want to be able to merge two signals into one stream similar to the rxjs merge function. The context for us is to merge input and output signals into one stream. We can't use the model signal since ...

Linear and nonlinear functions are the building blocks of algebra. They are essential to the understanding of graphs, equations, and the principles that govern the study of mathematics beyond the ...

The optoelectronic logic element AND, OR and XOR is considered, the output signal of which can be inverted when the input control signal is applied, thereby converting the logic element into NAND, NOR ...