Machine Learning & Training Neural Network in MATLAB

An ANN is a computational model inspired by networks of biological neurons, wherein the neurons compute output values from inputs. It learns from its past experience and errors in a non-linear parallel processing manner. ... The unsupervised mimics the biological neuron pattern of learning.

 The "Iris" data-set was originally published at UCI Machine Learning Repository: Iris Data Set. This small data-set from 1936 is often used for testing out machine learning algorithms and visualizations (for example, Scatter Plot). 

You can import data into MATLAB from a disk file or the system clipboard interactively. To import data from a file, do the following: On the Home tab, in the Variable section, select Import Data . Double-click a file name in the Current Folder browser. Watch videos for further knowledge.

Watch the lecture video in order to learn how to convert the data for training the neural network.

Training neural networks to analyse biological sequences. Neural networks show great potential for application for many areas of science in the analysis of empirical data. Where the ability to interpolate and extrapolate from limited data sets is important (for example, structural predictions from primary nucleic acid or protein