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Author: Jonathan Amezcua
Publisher: Springer
ISBN: 3319737732
Category : Technology & Engineering
Languages : en
Pages : 78
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Book Description
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.
Author: Jonathan Amezcua
Publisher: Springer
ISBN: 3319737732
Category : Technology & Engineering
Languages : en
Pages : 78
Get Book Here
Book Description
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.
Author: David W. Pearson
Publisher: Springer Science & Business Media
ISBN: 3709175356
Category : Computers
Languages : en
Pages : 542
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Book Description
Artificial neural networks and genetic algorithms both are areas of research which have their origins in mathematical models constructed in order to gain understanding of important natural processes. By focussing on the process models rather than the processes themselves, significant new computational techniques have evolved which have found application in a large number of diverse fields. This diversity is reflected in the topics which are subjects of the contributions to this volume. There are contributions reporting successful applications of the technology to the solution of industrial/commercial problems. This may well reflect the maturity of the technology, notably in the sense that 'real' users of modelling/prediction techniques are prepared to accept neural networks as a valid paradigm. Theoretical issues also receive attention, notably in connection with the radial basis function neural network. Contributions in the field of genetic algorithms reflect the wide range of current applications, including, for example, portfolio selection, filter design, frequency assignment, tuning of nonlinear PID controllers. These techniques are also used extensively for combinatorial optimisation problems.
Author: Anabela Mesquita
Publisher: Springer Nature
ISBN: 9811650632
Category : Technology & Engineering
Languages : en
Pages : 1003
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Book Description
This book presents high-quality, peer-reviewed papers from the International Conference in Information Technology & Education (ICITED 2021), to be held at the ESPM – Higher School of Advertising and Marketing, Sao Paulo, Brazil, between the 15th and the 17th of July 2021. The book covers a specific field of knowledge. This intends to cover not only two fields of knowledge – Education and Technology – but also the interaction among them and the impact/result in the job market and organizations. It covers the research and pedagogic component of Education and Information Technologies but also the connection with society, addressing the three pillars of higher education. The book addresses impact of pandemic on education and use of technology in education. Finally, it also encourages companies to present their professional cases which is discussed. These can constitute real examples of how companies are overcoming their challenges with the uncertainty of the market.
Author: Cihan H. Dagli
Publisher: American Society of Mechanical Engineers
ISBN:
Category : Computers
Languages : en
Pages : 1036
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Book Description
Proceedings Annie Conference, November 2006, St. Louis, Missouri. The newest volume in this series presents refereed papers in the following categories and their applications in the engineering domain: Neural Networks; Complex Networks; Evolutionary Programming; Data Mining; Fuzzy Logic; Adaptive Control; Pattern Recognition; Smart Engineering System Design. These papers are intended to provide a forum for researchers in the field to exchange ideas on smart engineering system design.
Author: Jeng-Shyang Pan
Publisher: Springer
ISBN: 364240846X
Category : Computers
Languages : en
Pages : 710
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Book Description
This volume constitutes the proceedings of the 8th International Conference on Hybrid Artificial Intelligent Systems, HAIS 2013, held in Salamanca, Spain, in September 2013. The 68 papers published in this volume were carefully reviewed and selected from 218 submissions. They are organized in topical sessions on Agents and Multi Agents Systems; HAIS Applications; Classification and Cluster Analysis; Data Mining and Knowledge Discovery; Video and Image Analysis; Bio-inspired Models and Evolutionary Computation; Learning Algorithms; Systems, MAN, and Cybernetics; Hybrid Intelligent Systems for Data Mining and Applications; Metaheuristics for Combinatorial Optimization and Modelling Complex Systems.
Author:
Publisher:
ISBN:
Category : Mathematical statistics
Languages : en
Pages : 604
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Book Description
Author: Frederick Ernest Giesecke
Publisher: Pearson Educación
ISBN: 9789702608110
Category : Computers
Languages : en
Pages : 670
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Book Description
This completely rewritten adaptation of Giesecke utilizes an abundance of hands-on activities and clear step-by-step descriptions to teach users freehand sketching and visualization skills for engineering graphics. The eighth edition features reorganized, consolidated coverage of Solid Modeling, new drawing problems, and fully proofed drawings. Other chapter topics include design and graphic communication, introduction to cad and solid modeling, freehand sketching and lettering techniques, geometric construction and modeling basics, multi-view sketching and projection, pictorial sketching, sectional views, dimensioning, and tolerancing, For individuals interested in the fields of technical drawing and engineering graphics.
Author: José S. Torrecilla
Publisher: Frontiers Media SA
ISBN: 2889638707
Category :
Languages : en
Pages : 89
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Book Description
Author:
Publisher:
ISBN:
Category : Genetic algorithms
Languages : en
Pages : 556
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Book Description
Author: Osvaldo Cairo
Publisher: Springer
ISBN: 3540455620
Category : Computers
Languages : en
Pages : 763
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Book Description
Fifty years ago, A. Turing predicted that by 2000 we would have a machine that could pass the Turing test. Although this may not yet be true, AI has advanced signi?cantly in these 50 years, and at the dawn of the XXI century is still an activeandchallenging?eld.Thisyearisalsosigni?cantforAIinMexico,withthe merging of the two major AI conferences into the biennial Mexican International Conference on Arti?cial Intelligence (MICAI) series. MICAI is the union of the Mexican National AI Conference (RNIA) and the International AI Symposium (ISAI), organized annually by the Mexican Society forAI(SMIA,since1984)andbytheMonterreyInstituteofTechnology(ITESM, since1988),respectively.The?rstMexicanInternationalConferenceonArti?cial Intelligence, MICAI 2000, took place April 11-14, 2000, in the city of Acapulco, Mexico.ThisconferenceseekstopromoteresearchinAI,andcooperationamong Mexican researchers and their peers worldwide. We welcome you all. Over 163 papers from 17 di?erent countries were submitted for consideration to MICAI 2000. After reviewing them thoroughly, MICAI’s program committee, referees, and program chair accepted 60 papers for the international track. This volume contains the written version of the papers and invited talks presented at MICAI. We would like to acknowledge the support of the American Association for Arti?cial Intelligence (AAAI), and the International Joint Conference on Art- cial Intelligence (IJCAI). We are specially grateful for the warm hospitality and generosity o?ered by the Acapulco Institute of Technology.
