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MATLAB for Machine Learning

You're reading from   MATLAB for Machine Learning Practical examples of regression, clustering and neural networks

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Product type Paperback
Published in Aug 2017
Publisher Packt
ISBN-13 9781788398435
Length 382 pages
Edition 1st Edition
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Authors (2):
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Pavan Kumar Kolluru Pavan Kumar Kolluru
Author Profile Icon Pavan Kumar Kolluru
Pavan Kumar Kolluru
Giuseppe Ciaburro Giuseppe Ciaburro
Author Profile Icon Giuseppe Ciaburro
Giuseppe Ciaburro
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Table of Contents (10) Chapters Close

Preface 1. Getting Started with MATLAB Machine Learning FREE CHAPTER 2. Importing and Organizing Data in MATLAB 3. From Data to Knowledge Discovery 4. Finding Relationships between Variables - Regression Techniques 5. Pattern Recognition through Classification Algorithms 6. Identifying Groups of Data Using Clustering Methods 7. Simulation of Human Thinking - Artificial Neural Networks 8. Improving the Performance of the Machine Learning Model - Dimensionality Reduction 9. Machine Learning in Practice

Basic elements of a neural network

The atomic computational unit of a neural network is the artificial neuron. It simulates several basic functions of the biological neuron, evaluates the intensity of each input, sums up the different inputs, and compares the result with an appropriate threshold. Finally, it determines what the output value is. The basic anatomy of the neuron is known and the main biochemical reactions that govern its activity have been identified. A neuron can be considered the elemental computational unit of the brain. In the human brain, about 100 different classes of neurons have been identified. The following figure shows the scheme of a single neuron:

Figure 7.5: Neural network scheme

The main feature of the neuron is to generate an electric potential propagating along the axon (neuron output) when electrical activity at the neuron body level exceeds a...

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