Effacer les filtres
Effacer les filtres

Help with simple ANN for data prediction

7 vues (au cours des 30 derniers jours)
RAVI Chandan
RAVI Chandan le 9 Nov 2020
Commenté : RAVI Chandan le 12 Nov 2020
I am a mechanical engineering student and this is my first time venturing into coding. I wish to create a Neural network for predicting an experimental output.
I have three inputs Let's say Power(P), feed(F), speed(V) and Two outputs Let's say X, Y
I hear that there different types of Neural networks like ANN, RNN and CNN etc. These are some which I know of, so I want to create a customised Neural network in which we can change the no. of neurons, layers and training functions and different aspects to compare different networks and decide the best one with higher prediction accuracy.
Can anyone please help.

Réponses (1)

Athul Prakash
Athul Prakash le 12 Nov 2020
If you're looking to pick up how Neural Networks are handled in Matlab, I would suggest going through some of the examples in the documentation. There are multiple how-to's available for training simple ANNs, CNNs etc on relatively simple datasets.
Matlab supports various several common deep learning layers. You may build a deep learning network by creating an array of adjacent layers. Have a look at the following doc on layers (go through the examples):
You may stack FullyConnectedLayers to build an ANN architecture, or include Convolutional layers (such as convolution2DLayer) to build a CNN.
trainNetwork() is invoked to train a DL network on a given dataset and predict(), confusionmat() are useful to evaluate its performance.
You may also find analyzeNetwork() useful.
Hope it helps.


En savoir plus sur Sequence and Numeric Feature Data Workflows dans Help Center et File Exchange

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by