grnn

基于神经网络的一阶倒立摆控制

Generalized Regression Neural Networks estimates using the weighted averages of the outputs of the training data set. (With Gaussian kernel and Euclidean distance)

General Regression Neural Networks were coded with python.

n this work, a neuro-fuzzy system (NFS)-based autonomous and adaptive controller termed as the hybrid auto-adaptive controller (HAC) is developed. HAC combines a simplified NFS (Simp_NFS) and a simplified neural network (Simp_NN). Unlike conventional NFS, in this study, hyper-plane-shaped clusters (HPSCs) are utilized in Simp_NFS, which has no l…

Collection of neural network models and experiments using R

A concise introduction and Python implementation of various regression methods, including: Linear, Polynomial, Fourier, Splines, Kernel, GRNN

filling in missing values in climate data

Filling the gaps in climate data

🧠 Deep learning algorithms implemented from scratch using only NumPy — no frameworks, just math, backpropagation, and fundamentals.