XOR Classification: A feedforward neural network is trained to classify the XOR logic function using a hidden layer with 2 neurons, tanh and sigmoid activation functions, and backpropagation for ...
Overview: This project implements a feedforward neural network (FFNN) from scratch in Python using NumPy and Matplotlib to solve the XOR logic problem. XOR is not linearly separable, making it an ...
To date, several different types of synthetic genetic switches, including riboregulators, riboswitches, and toehold switches, have been developed to construct AND, OR, NOT, NAND, NOR, and NOT ...
Abstract: The level-k $\ell_{1}$-Fourier weight of a Boolean function refers to the sum of absolute values of its level-k Fourier coefficients. Fourier growth refers to the growth of these weights as ...
Abstract: This paper proposes a low power design of 4-input ternary XOR function using carbon nano tube field effect transistors (CNTFETs). In CNTFET, the desired threshold voltage can be achieved by ...
Including XOR gates in your functions offers significant benefits by reducing transistor and track counts and increasing testability. As designers, we're used to representing digital functions using ...
Members can download this article in PDF format. In the last two articles, we covered the basic concepts and two basic types of cryptography. In this article, we will look at specific implementation ...
Good Grief Charlie Brown! Ever since I presented the “Black Box Brain Boggler” in myLogically Speaking column in the 8th May issue of EE Times, I've been running around in ever-decreasing circles ...
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