implement the machine learning algorithms by python for studying

Easily smooth your data in Julia

In this project, an observer in the form of a stable neural network is proposed for any nonlinear MIMO system. As a result of experience, this observer utilizes a nonlinear in parameter neural network (NLPNN) which unlike LPNN, supports systems with higher degree of nonlinearity with no pre-knowledge of its dynamics. The learning rule for this neural network is based on the back-propagation method with a small modification. In addition, in order to guarantee the robustness of the observer, an e-modification term is added. Also, it is noted that there are no hard constraints like SPR on this method. Subsequently, the stability of this neural network observer is guaranteed by Lyapunov's direct method. At the end, the simulation results for a flexible-joint manipulator with this observer is demonstrated.

rbf network based control for robot manipulator

Variational Joint Filtering

learning fuction : y = x1^2 +x2^2

Lab assignments for the course DD2437-Artificial neural networks and deep architectures at KTH

This repository contains files related to designing of model predictive RBFN controller for non-linear plants modelled using U-model, using Simulink (MATLAB).

Python machine learning library using powerful numerical optimization methods.

Design and implementation of a simple RBF Neural Network from scratch

A cutting edge Open Source HealthCare app(Android+Web) which utilizes Machine Learning to predict diseases based on Symptoms or Natural Language. Also includes features such as Live Chat with Doctors,Appointment Booking,Possible Drugs you can take and Specialist you can refer to.

Python implementation of Radial Basis Function network with no external packages

Generalized Improved Second Order RBF Neural Network with Center Selection using OLS

we utilize a novel quantile filtering algorithm, a Radial Basis Function and Multi-layer Perceptron Neural network

evolutionary-based approach in RBF neural network training

Visualization of the training process of an RBF network

🎨 ArtGenre-Classifier: Machine learning library developed from scratch in C with Python interoperability (ctypes). Complete application for classifying artistic movements (Cubism, Renaissance, Surrealism) using Linear, PMC, and RBF models.

Training Radial Basis Function Network with the help of ES

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Implementation of clustering network with automatic feature extraction for NILM.

Radial Basis Function Network Implementation.

An RBF network implementation for interpolation

Two pattern classification problem using Radial Basis Functions (RBF) Neural Networks, with center vectors selected via self-organizing map (SOM) neural networks.

Some implementation of neural networks

Implementation of a RBF network using the evolutionary strategy algorithm in order to find optimal weights.

Approximation of mixing different gaussian distribution with Self-organizing Map(SoM) and Radial Basis Function(RBF)

Code for the neural networks I helped develop for UVa's spin physics research group.

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Repositório do projeto de pesquisa sobre fingerprinting baseado em machine learning. Rede neural RBF treinada para prever coordenadas de dispositivos lora em grandes áreas urbanas.