Journal ArticleDOI
Extracting rules from multilayer perceptrons in classification problems: a clustering-based approach
TLDR
The proposed approach to extract rules from multilayer perceptrons trained in classification problems is experimentally evaluated in four datasets that are benchmarks for data mining applications and in a real-world meteorological dataset, leading to interesting results.About:
This article is published in Neurocomputing.The article was published on 2006-12-01. It has received 86 citations till now. The article focuses on the topics: Cluster analysis & Perceptron.read more
Citations
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Journal ArticleDOI
A Survey of Evolutionary Algorithms for Clustering
TL;DR: An up-to-date overview that is fully devoted to evolutionary algorithms for clustering, is not limited to any particular kind of evolutionary approach, and comprises advanced topics like multiobjective and ensemble-based evolutionary clustering.
Journal ArticleDOI
Fundamentals of natural computing: an overview
TL;DR: This paper provides an overview of the fundamentals of natural computing, particularly the fields listed above, emphasizing the biological motivation, some design principles, their scope of applications, current research trends and open problems.
Journal ArticleDOI
Neural networks
Alberto Prieto,Beatriz Prieto,Eva M. Ortigosa,Eduardo Ros,Francisco J. Pelayo,Julio Ortega,Ignacio Rojas +6 more
TL;DR: The development and evolution of different topics related to neural networks is described showing that the field has acquired maturity and consolidation, proven by its competitiveness in solving real-world problems.
Posted Content
Principles and Practice of Explainable Machine Learning
Vaishak Belle,Ioannis Papantonis +1 more
TL;DR: A survey is undertaken to help industry practitioners (but also data scientists more broadly) understand the field of explainable machine learning better and apply the right tools, and discusses the main developments.
Journal ArticleDOI
Reverse Engineering the Neural Networks for Rule Extraction in Classification Problems
TL;DR: Experimental results show that the proposed RxREN algorithm is quite efficient in extracting smallest set of rules with high classification accuracy than those generated by other neural network rule extraction methods.
References
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Book
Genetic algorithms in search, optimization, and machine learning
TL;DR: In this article, the authors present the computer techniques, mathematical tools, and research results that will enable both students and practitioners to apply genetic algorithms to problems in many fields, including computer programming and mathematics.
Genetic algorithms in search, optimization and machine learning
TL;DR: This book brings together the computer techniques, mathematical tools, and research results that will enable both students and practitioners to apply genetic algorithms to problems in many fields.
Book
Neural Networks: A Comprehensive Foundation
TL;DR: Thorough, well-organized, and completely up to date, this book examines all the important aspects of this emerging technology, including the learning process, back-propagation learning, radial-basis function networks, self-organizing systems, modular networks, temporal processing and neurodynamics, and VLSI implementation of neural networks.
Book
Finding Groups in Data: An Introduction to Cluster Analysis
TL;DR: An electrical signal transmission system, applicable to the transmission of signals from trackside hot box detector equipment for railroad locomotives and rolling stock, wherein a basic pulse train is transmitted whereof the pulses are of a selected first amplitude and represent a train axle count.