Learn about the immittance Smith chart (ZY Smith chart), the effect of adding series and parallel components, impedance matching, and finding a two-element…
Learn about the immittance Smith chart (ZY Smith chart), the effect of adding series and parallel components, impedance matching, and finding a two-element matching network.
Learn about voltage waves and how they relate to an important basic concept of radio frequency (RF) circuit design:…
Learn about voltage waves and how they relate to an important basic concept of radio frequency (RF) circuit design: transmission lines.
Learn about some of the main Internet of Things (IoT) network communication protocols.
Learn about some of the main Internet of Things (IoT) network communication protocols.
In this article, get a basic understanding of wireless communication networks—LoRa and LoRaWAN.
In this article, get a basic understanding of wireless communication networks—LoRa and LoRaWAN.
Learn the basics of 5G NR (New Radio), including its frequency bands, applications, and what technologies make it possible.
Learn the basics of 5G NR (New Radio), including its frequency bands, applications, and what technologies make it possible.
In this article, we’ll discuss why a discrete implementation cannot provide a high accuracy in resistive current sensing.
In this article, we’ll discuss why a discrete implementation cannot provide a high accuracy in resistive current sensing.
This article explores an interesting connection between an important statistical measure and one of the fundamental…
This article explores an interesting connection between an important statistical measure and one of the fundamental analytical tools of electrical engineering.
In this article, we’ll look at different EV charging modes specified by the International Electrotechnical Commission (IEC).
In this article, we’ll look at different EV charging modes specified by the International Electrotechnical Commission (IEC).
This article discusses three descriptive statistical measures from the perspective of signal-processing applications.
This article discusses three descriptive statistical measures from the perspective of signal-processing applications.
This article discusses a complication that can prevent your Perceptron from achieving adequate classification accuracy.
This article discusses a complication that can prevent your Perceptron from achieving adequate classification accuracy.
This article shows you how to add bias values to a multilayer Perceptron implemented in a high-level programming language…
This article shows you how to add bias values to a multilayer Perceptron implemented in a high-level programming language such as Python.
In this article, we’ll perform some classification experiments and gather data on the relationship between hidden-layer…
In this article, we’ll perform some classification experiments and gather data on the relationship between hidden-layer dimensionality and network performance.
This article provides guidelines for configuring the hidden portion of a multilayer Perceptron.
This article provides guidelines for configuring the hidden portion of a multilayer Perceptron.
In this article, we’ll use Excel-generated samples to train a multilayer Perceptron, and then we’ll see how the…
In this article, we’ll use Excel-generated samples to train a multilayer Perceptron, and then we’ll see how the network performs with validation samples.
This article explains why validation is particularly important when we’re processing data using a neural network.
This article explains why validation is particularly important when we’re processing data using a neural network.
This article takes you step by step through a Python program that will allow us to train a neural network and perform…
This article takes you step by step through a Python program that will allow us to train a neural network and perform advanced classification.
This article discusses the Perceptron configuration that we will use for our experiments with neural-network training and…
This article discusses the Perceptron configuration that we will use for our experiments with neural-network training and classification, and we’ll also look at the related topic of bias nodes.
We can greatly enhance the performance of a Perceptron by adding a layer of hidden nodes, but those hidden nodes also…
We can greatly enhance the performance of a Perceptron by adding a layer of hidden nodes, but those hidden nodes also make training a bit more complicated.
In this article, we’ll see why we need a new activation function for a neural network that is trained via gradient descent.
In this article, we’ll see why we need a new activation function for a neural network that is trained via gradient descent.
This article discusses learning rate, which plays an important role in neural-network training.
This article discusses learning rate, which plays an important role in neural-network training.