Introducing Artificial Neural Network Modeling
Artificial neural networks (ANNs) include data structures and algorithms for learning and classifying data. Through neural network techniques, a program can learn through examples and create an internal structure of rules to classify different inputs. MATLAB provides algorithms, pre-trained models, and apps to create, train, visualize, and simulate ANNs. In this chapter, we will see how to use MATLAB to build an ANN-based model to predict values and classify data.
In this chapter, we’re going to cover the following main topics:
- Getting started with ANNs
- Training and testing an ANN model in MATLAB
- Understanding data fitting with ANNs
- Discovering pattern recognition using ANNs
- Building a clustering application with an ANN
- Exploring advanced optimization techniques
