MFRFNN: Multi-Functional Recurrent Fuzzy Neural Network for Chaotic Time Series Prediction

VMD-MFRFNN

CVPR2018 - scene parsing network regulated by geometric prior

The project uses a nonlinear autoregressive exogenous (NARX), model to make time-series prediction on data obtained from drive cycling testing on buses

[PNAS'18] Recurrent computations for visual pattern completion: Classification of occluded images in humans and recurrent neural networks

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 n…

Prediction of multidimensional time-series data using a recurrent neural network (RNN) trained by real-time recurrent learning (RTRL), unbiased online recurrent optimization (UORO), least mean squares (LMS), or multivariate linear regression. The optimal hyper-parameters are selected using grid search with parallel processing.

Generalized Implementation of RNNs for Chaotic Time Series Prediction

Using deep learning to predict the motion of a MPC-controlled vehicle

Multidimensional time-series data prediction with a recurrent neural network (RNN) trained by RTRL; 2nd repo in a series of 3 repos associated with the research article "Prediction of the motion of chest internal points using an RNN trained with RTRL for latency compensation in lung cancer radiotherapy" (Pohl et al, Comput Med Imaging Graph, 2021)

Development of a spinal pattern generator (SPG) model to predict muscle activations at the ankle joint during walking

Future frame prediction in 2D cine-MR images using the PCA respiratory motion model and online learning algorithms for RNNs, and time series forecasting using the latter

Machine learning ( RNN (Recurrent Neural Network) and SVM (Support Vector Machine) ) recognition/classification of 7 hand gestures using 6 channels of BioRadio 150 & BioCapture

University Project for "Intelligent Systems" course (MSc Computer Engineering @ University of Pisa). Design and implementation of several artificial intelligences (MLP, RBFN, FIS, CNN, RNN) on a dataset composed on biophysical signals

A simple recurrent neural network (RNN) implemented from scratch in matlab

Octave implementation of BAM network, using it to encode/ decode numbers

University Project for "Intelligent Systems" course (MSc Computer Engineering @ University of Pisa). ECG Fitting, Forecasting and Activity Classification using NN, CNN, RNN and Fuzzy Systems.

Details of certified courses covered by me. Includes notes and solutions to programming exercises.

The project involves Hopfield models, supervised learning and unsupervised learning.