Analytics India Magazine

10 Best AI Courses in 2025: Programs That Bridge Theory and Real-World Application

This course takes a classic, academic approach, offering a deep dive into AI algorithms, logic, probabilistic models, and ...
Deep Learning with Yacine on MSN

Understanding Forward Propagation in Neural Networks with Python – Step by Step

Learn how forward propagation works in neural networks using Python! This tutorial explains the process of passing inputs ...
Deep Learning with Yacine on MSN

Backpropagation from Scratch in Python – Step by Step Neural Network Tutorial

Learn how backpropagation works by building it from scratch in Python! This tutorial explains the math, logic, and coding behind training a neural network, helping you truly understand how deep ...
Scientific Research Publishing

Zhang, G., Eddy Patuwo, B. and Y. Hu, M. (1998) Forecasting with Artificial Neural Networks: The State of the Art. International Journal of Forecasting, 14, 35-62.

ABSTRACT: This paper proposes a unique approach to load forecasting using a fast convergent artificial neural network (ANN) and is driven by the critical need for power system planning. The Mazoon ...
Frontiers

Compatibility optimization of the traditional Chinese medicines ‘Eczema mixture’ based on back-propagation artificial neural network and non-dominated sorting genetic algorithm

Introduction: Chinese medicine formulas (CMF) are an important aspect of traditional Chinese medicine (TCM) and are formulated based on strict compatibility proportions guided by TCM theory. Due to ...
GitHub

back_propagation_neural_network.py

self.weight = np.asmatrix(rng.normal(0, 0.5, (self.units, back_units))) self.bias = np.asmatrix(rng.normal(0, 0.5, self.units)).T ...