To address the issues of strong subjectivity and difficulty in feature extraction that are inherent to traditional frequency response analysis methods used for diagnosing transformer winding ...

Learn the Adagrad optimization algorithm, how it works, and how to implement it from scratch in Python for machine learning models. #Adagrad #Optimization #Python Trump administration looking to sell ...

ABSTRACT: Liver cancer is one of the most prevalent and lethal forms of cancer, making early detection crucial for effective treatment. This paper introduces a novel approach for automated liver tumor ...

LinkedIn's algorithm prioritizes ads & sponsored content, hurting organic reach for creators. To adapt: share niche expertise, use authentic images, craft strong hooks, write longer comments, engage ...

Abstract: In artificial neural network (ANN), the basic perceptron algorithm plays a significant role in supervised machine learning due to its simple structure. Though it cannot solve some non-linear ...

Multilayer Perceptron Neural network for binary classification between two type of breast cancer ("benign" and "malignant" )using Wisconsin Breast Cancer Database ...

I implemented the gradient descent algorithm for the perceptron, which is designed for NOR binary logic function and uses it to update its weights.

For the past two decades, researchers have attempted to create a Quantum Neural Network (QNN) by combining the merits of quantum computing and neural computing. In order to exploit the advantages of ...