Frontiers

Intelligent pavement moduli back-calculation using an SEM–Transformer framework

The final, formatted version of the article will be published soon. This study proposes an intelligent back-calculation framework for accurately estimating the elastic moduli of multilayer pavements ...
GitHub

CausalInferenceLab/awesome-causal-inference-python

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Learn With Jay on MSN

Neural network Python from scratch with softmax

Implement Neural Network in Python from Scratch ! In this video, we will implement MultClass Classification with Softmax by ...
GitHub

Official Code for Article “A neural network model for concept formation, understanding and communication”

CATS-Net (Concept Abstraction and Task-Solving Network) is a comprehensive framework for understanding and implementing concept abstraction in neural networks. The system combines supervised learning ...
Learn With Jay on MSN

Build a deep neural network from scratch in Python

We will create a Deep Neural Network python from scratch. We are not going to use Tensorflow or any built-in model to write ...
IEEE

A Neural Network-Based ADC Calibration Framework via Quantization Code Reconstruction

Abstract: This article proposes a neural network (NN)-based calibration framework via quantization code reconstruction to address the critical limitation of multidimensional NNs (MDNNs) in ...
IEEE

Dynamic Control of Isolated Network Microgrids: A Resilient Backpropagation Neural Network-Based Virtual Inertia Control Approach

Abstract: In isolated networked microgrid with high penetration of solar and wind-based generation, maintaining system stability and achieving optimal dynamic performance poses significant challenges ...