Neuron class
Neuron class provides LNU (Linear Neural Unit), QNU (Quadratic Neural Unit), RBF (Radial Basis Function), MLP (Multi Layer Perceptron), MLP-ELM (Multi Layer Perceptron - Extreme Learning Machine) neurons learned with Gradient descent or LeLevenberg–Marquardt algorithm. This class is suitable for prediction on time series.
Dependencies
Neuron class needs pandas and numpy to work propertly.
Example of usage
Consider Y are targets and X are inputs.
## LNUGD
neuron = LNUGD()
prediction = 1
yn, w, e, Wall, MSE = neuron.train(Y_train, X_train, epochs=2, prediction=prediction)
yn, w, Wall, MSE, e = neuron.countSerie(Y, X, logging=False, prediction=prediction)
QNULM
neuron = QNULM()
prediction = 1
yn, w, e, Wall, MSE = neuron.train(Y_train, X_train, epochs=10, prediction=prediction)
yn, w, MSE, e = neuron.countSerie(Y, X, logging=False, prediction=prediction)
RBF
neuron = RBF()
prediction = 1
neuron.train(Y_train, X_train, prediction=prediction)
yn = neuron.count(Y,X, logging=True, beta=0.01, prediction=prediction)
MLPGD
neuron = MLPGD()
prediction = 1
yn = neuron.count(Y_train, X_train, prediction=prediction, epochs=5)
yn = neuron.count(Y, X, prediction=prediction, epochs=1)
MLPELM
neuron = MLPELM()
prediction = 1
yn = neuron.count(Y_train, X_train, prediction = prediction, epochs = 10)
yn = neuron.count(Y, X, prediction = prediction)
MLPLMWL
neuron = MLPLMWL()
prediction = 1
yn = neuron.count(Y, X, learningWindow = 50, overLearn = 10, prediction = prediction)
Support me
If you find this useful, consider supporting independent open-source development and buy me a coffee.
206 Oct 29, 2022
19 Sep 18, 2022
6.7k Dec 28, 2022
1 Feb 08, 2022
28 Nov 06, 2022
758 Dec 25, 2022
105 Dec 25, 2022
300 Nov 22, 2022
6 May 11, 2021
361 Dec 12, 2022
66 Nov 08, 2022
2 Apr 10, 2022
4 May 16, 2022
108 Dec 01, 2022
34 Dec 28, 2022
243 Dec 29, 2022
51 Dec 22, 2022
154 Dec 26, 2022
1.3k Jan 07, 2023
10 Feb 10, 2022