New Classification Method Based on Modular Neural Networks with the LVQ Algorithm and Type 2 Fuzzy Logic is popular PDF and ePub book, written by Jonathan Amezcua in 2018-02-05, it is a fantastic choice for those who relish reading online the Technology & Engineering genre. Let's immerse ourselves in this engaging Technology & Engineering book by exploring the summary and details provided below. Remember, New Classification Method Based on Modular Neural Networks with the LVQ Algorithm and Type 2 Fuzzy Logic can be Read Online from any device for your convenience.
New Classification Method Based on Modular Neural Networks with the LVQ Algorithm and Type 2 Fuzzy Logic Book PDF Summary
In this book a new model for data classification was developed. This new model is based on the competitive neural network Learning Vector Quantization (LVQ) and type-2 fuzzy logic. This computational model consists of the hybridization of the aforementioned techniques, using a fuzzy logic system within the competitive layer of the LVQ network to determine the shortest distance between a centroid and an input vector. This new model is based on a modular LVQ architecture to further improve its performance on complex classification problems. It also implements a data-similarity process for preprocessing the datasets, in order to build dynamic architectures, having the classes with the highest degree of similarity in different modules. Some architectures were developed in order to work mainly with two datasets, an arrhythmia dataset (using ECG signals) for classifying 15 different types of arrhythmias, and a satellite images segments dataset used for classifying six different types of soil. Both datasets show interesting features that makes them interesting for testing new classification methods.
Detail Book of New Classification Method Based on Modular Neural Networks with the LVQ Algorithm and Type 2 Fuzzy Logic PDF
- Author : Jonathan Amezcua
- Release : 05 February 2018
- Publisher : Springer
- ISBN : 9783319737737
- Genre : Technology & Engineering
- Total Page : 78 pages
- Language : English
- PDF File Size : 21,8 Mb
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