This paper deals with a wind–diesel generator hybrid configuration of the microgrid using a voltage source converter (VSC) as a voltage and frequency (VF) controller. The wind power generated by ...

Simple two-layer neural network written in Python mainly to solve the XOR problem. NN implemented in two versions: without tensorflow usage and with tensorflow package. It uses back-propagation ...

This paper addressed the use of Back Propagation Neural Network for Classification of ECG waveforms using discrete wavelet transform. We have been selected of MIT-BIH arrhythmia database and picked up ...

Enable belief propagation algorithm on large factor graphs Problem Pgmpy struggles with running BP on graphs over ~1,000 variables (perhaps also with fewer!). Solution Rather than copying a one‐day ...