Granular Neural Networks Pattern Recognition And Bioinformatics

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Granular Neural Networks, Pattern Recognition and Bioinformatics

Sankar K. Pal,Shubhra S. Ray,Avatharam Ganivada
Granular Neural Networks Pattern Recognition and Bioinformatics Book PDF

Author : Sankar K. Pal,Shubhra S. Ray,Avatharam Ganivada
Publisher : Springer
Page : 227 pages
File Size : 46,8 Mb
Release : 2017-05-02
Category : Technology & Engineering
ISBN : 9783319571157

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Granular Neural Networks, Pattern Recognition and Bioinformatics by Sankar K. Pal,Shubhra S. Ray,Avatharam Ganivada Pdf

This book provides a uniform framework describing how fuzzy rough granular neural network technologies can be formulated and used in building efficient pattern recognition and mining models. It also discusses the formation of granules in the notion of both fuzzy and rough sets. Judicious integration in forming fuzzy-rough information granules based on lower approximate regions enables the network to determine the exactness in class shape as well as to handle the uncertainties arising from overlapping regions, resulting in efficient and speedy learning with enhanced performance. Layered network and self-organizing analysis maps, which have a strong potential in big data, are considered as basic modules,. The book is structured according to the major phases of a pattern recognition system (e.g., classification, clustering, and feature selection) with a balanced mixture of theory, algorithm, and application. It covers the latest findings as well as directions for future research, particularly highlighting bioinformatics applications. The book is recommended for both students and practitioners working in computer science, electrical engineering, data science, system design, pattern recognition, image analysis, neural computing, social network analysis, big data analytics, computational biology and soft computing.

Pattern Recognition And Big Data

Pal Sankar Kumar,Pal Amita
Pattern Recognition And Big Data Book PDF

Author : Pal Sankar Kumar,Pal Amita
Publisher : World Scientific
Page : 876 pages
File Size : 48,9 Mb
Release : 2016-12-15
Category : Computers
ISBN : 9789813144569

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Pattern Recognition And Big Data by Pal Sankar Kumar,Pal Amita Pdf

Containing twenty six contributions by experts from all over the world, this book presents both research and review material describing the evolution and recent developments of various pattern recognition methodologies, ranging from statistical, linguistic, fuzzy-set-theoretic, neural, evolutionary computing and rough-set-theoretic to hybrid soft computing, with significant real-life applications. Pattern Recognition and Big Data provides state-of-the-art classical and modern approaches to pattern recognition and mining, with extensive real life applications. The book describes efficient soft and robust machine learning algorithms and granular computing techniques for data mining and knowledge discovery; and the issues associated with handling Big Data. Application domains considered include bioinformatics, cognitive machines (or machine mind developments), biometrics, computer vision, the e-nose, remote sensing and social network analysis.

Rough-Fuzzy Pattern Recognition

Pradipta Maji,Sankar K. Pal
Rough Fuzzy Pattern Recognition Book PDF

Author : Pradipta Maji,Sankar K. Pal
Publisher : John Wiley & Sons
Page : 312 pages
File Size : 43,8 Mb
Release : 2012-02-14
Category : Technology & Engineering
ISBN : 9781118004401

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Rough-Fuzzy Pattern Recognition by Pradipta Maji,Sankar K. Pal Pdf

Learn how to apply rough-fuzzy computing techniques to solve problems in bioinformatics and medical image processing Emphasizing applications in bioinformatics and medical image processing, this text offers a clear framework that enables readers to take advantage of the latest rough-fuzzy computing techniques to build working pattern recognition models. The authors explain step by step how to integrate rough sets with fuzzy sets in order to best manage the uncertainties in mining large data sets. Chapters are logically organized according to the major phases of pattern recognition systems development, making it easier to master such tasks as classification, clustering, and feature selection. Rough-Fuzzy Pattern Recognition examines the important underlying theory as well as algorithms and applications, helping readers see the connections between theory and practice. The first chapter provides an introduction to pattern recognition and data mining, including the key challenges of working with high-dimensional, real-life data sets. Next, the authors explore such topics and issues as: Soft computing in pattern recognition and data mining A mathematical framework for generalized rough sets, incorporating the concept of fuzziness in defining the granules as well as the set Selection of non-redundant and relevant features of real-valued data sets Selection of the minimum set of basis strings with maximum information for amino acid sequence analysis Segmentation of brain MR images for visualization of human tissues Numerous examples and case studies help readers better understand how pattern recognition models are developed and used in practice. This text—covering the latest findings as well as directions for future research—is recommended for both students and practitioners working in systems design, pattern recognition, image analysis, data mining, bioinformatics, soft computing, and computational intelligence.

Biological and Artificial Intelligence Environments

Bruno Apolloni,Maria Marinaro,Roberto Tagliaferri
Biological and Artificial Intelligence Environments Book PDF

Author : Bruno Apolloni,Maria Marinaro,Roberto Tagliaferri
Publisher : Springer Science & Business Media
Page : 389 pages
File Size : 41,9 Mb
Release : 2007-11-04
Category : Computers
ISBN : 9781402034329

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Biological and Artificial Intelligence Environments by Bruno Apolloni,Maria Marinaro,Roberto Tagliaferri Pdf

The book reports the proceedings of the 15th Italian workshop on neural networks issued by the Italian Society on Neural Networks SIREN. The longevity recipe of this conference stands in three main points that normally renders the reading of these proceedings so interesting as appealing. 1. The topics of the neural networks is considered an attraction pole for a set of researches centered on the inherent paradigm of the neural networks, rather than on a specific tool exclusively. Thus, the subsymbolic management of the data information content constitutes the key feature of papers in various fields such as Pattern Recognition, Stochastic Optimization, Learning, Granular Computing, and so on, with a special bias toward bioinformatics operational applications. An excerpt of all these matters may be found in the book. 2. Though managed at domestic level, the conference attracts contributions from foreign researchers as well, so that in the book the reader may capture the flavor of the state of the art in the international community. 3. The conference is a meeting of friends as well. Thus the papers generally reflect a relaxed atmosphere where researchers meet to generously exchange their thought and explain their actual results in view of a common cultural growing of the community.

Soft Computing Approach to Pattern Recognition and Image Processing

Ashish Ghosh,Sankar K. Pal
Soft Computing Approach to Pattern Recognition and Image Processing Book PDF

Author : Ashish Ghosh,Sankar K. Pal
Publisher : World Scientific
Page : 374 pages
File Size : 42,6 Mb
Release : 2002
Category : Computers
ISBN : 9812776230

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Soft Computing Approach to Pattern Recognition and Image Processing by Ashish Ghosh,Sankar K. Pal Pdf

This volume provides a collection of sixteen articles containing review and new material. In a unified way, they describe the recent development of theories and methodologies in pattern recognition, image processing and vision using fuzzy logic, artificial neural networks, genetic algorithms, rough sets and wavelets with significant real life applications. The book details the theory of granular computing and the role of a rough-neuro approach as a way of computing with words and designing intelligent recognition systems. It also demonstrates applications of the soft computing paradigm to case based reasoning, data mining and bio-informatics with a scope for future research. The contributors from around the world present a balanced mixture of current theory, algorithms and applications, making the book an extremely useful resource for students and researchers alike. Contents: Pattern Recognition: Multiple Classifier Systems; Building Decision Trees from the Fourier Spectrum of a Tree Ensemble; Clustering Large Data Sets; Multi-objective Variable String Genetic Classifier: Application to Remote Sensing Imagery; Image Processing and Vision: Dissimilarity Measures Between Fuzzy Sets or Fuzzy Structures; Early Vision: Concepts and Algorithms; Self-organizing Neural Network for Multi-level Image Segmentation; Geometric Transformation by Moment Method with Wavelet Matrix; New Computationally Efficient Algorithms for Video Coding; Soft Computing for Computational Media Aesthetics: Analyzing Video Content for Meaning; Granular Computing and Case Based Reasoning: Towards Granular Multi-agent Systems; Granular Computing and Pattern Recognition; Case Base Maintenance: A Soft Computing Perspective; Real Life Applications: Autoassociative Neural Network Models for Pattern Recognition Tasks in Speech and Image; Protein Structure Prediction Using Soft Computing; Pattern Classification for Biological Data Mining. Readership: Upper level undergraduates, graduates, researchers, academics and industrialists.

Handbook of Granular Computing

Witold Pedrycz,Andrzej Skowron,Vladik Kreinovich
Handbook of Granular Computing Book PDF

Author : Witold Pedrycz,Andrzej Skowron,Vladik Kreinovich
Publisher : John Wiley & Sons
Page : 1148 pages
File Size : 53,6 Mb
Release : 2008-07-31
Category : Technology & Engineering
ISBN : 9780470724156

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Handbook of Granular Computing by Witold Pedrycz,Andrzej Skowron,Vladik Kreinovich Pdf

Although the notion is a relatively recent one, the notions and principles of Granular Computing (GrC) have appeared in a different guise in many related fields including granularity in Artificial Intelligence, interval computing, cluster analysis, quotient space theory and many others. Recent years have witnessed a renewed and expanding interest in the topic as it begins to play a key role in bioinformatics, e-commerce, machine learning, security, data mining and wireless mobile computing when it comes to the issues of effectiveness, robustness and uncertainty. The Handbook of Granular Computing offers a comprehensive reference source for the granular computing community, edited by and with contributions from leading experts in the field. Includes chapters covering the foundations of granular computing, interval analysis and fuzzy set theory; hybrid methods and models of granular computing; and applications and case studies. Divided into 5 sections: Preliminaries, Fundamentals, Methodology and Algorithms, Development of Hybrid Models and Applications and Case Studies. Presents the flow of ideas in a systematic, well-organized manner, starting with the concepts and motivation and proceeding to detailed design that materializes in specific algorithms, applications and case studies. Provides the reader with a self-contained reference that includes all pre-requisite knowledge, augmented with step-by-step explanations of more advanced concepts. The Handbook of Granular Computing represents a significant and valuable contribution to the literature and will appeal to a broad audience including researchers, students and practitioners in the fields of Computational Intelligence, pattern recognition, fuzzy sets and neural networks, system modelling, operations research and bioinformatics.

Artificial Neural Networks in Pattern Recognition

Friedhelm Schwenker,Simone Marinai
Artificial Neural Networks in Pattern Recognition Book PDF

Author : Friedhelm Schwenker,Simone Marinai
Publisher : Springer
Page : 302 pages
File Size : 42,9 Mb
Release : 2006-08-29
Category : Computers
ISBN : 9783540379522

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Artificial Neural Networks in Pattern Recognition by Friedhelm Schwenker,Simone Marinai Pdf

This book constitutes the refereed proceedings of the Second IAPR Workshop on Artificial Neural Networks in Pattern Recognition, ANNPR 2006, held in Ulm, Germany in August/September 2006. The 26 revised papers presented were carefully reviewed and selected from 49 submissions. The papers are organized in topical sections on unsupervised learning, semi-supervised learning, supervised learning, support vector learning, multiple classifier systems, visual object recognition, and data mining in bioinformatics.

Artificial Neural Networks in Pattern Recognition

Friedhelm Schwenker,Simone Marinai
Artificial Neural Networks in Pattern Recognition Book PDF

Author : Friedhelm Schwenker,Simone Marinai
Publisher : Springer
Page : 302 pages
File Size : 52,9 Mb
Release : 2006-08-29
Category : Computers
ISBN : 3540379525

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Artificial Neural Networks in Pattern Recognition by Friedhelm Schwenker,Simone Marinai Pdf

This book constitutes the refereed proceedings of the Second IAPR Workshop on Artificial Neural Networks in Pattern Recognition, ANNPR 2006, held in Ulm, Germany in August/September 2006. The 26 revised papers presented were carefully reviewed and selected from 49 submissions. The papers are organized in topical sections on unsupervised learning, semi-supervised learning, supervised learning, support vector learning, multiple classifier systems, visual object recognition, and data mining in bioinformatics.

Scalable Pattern Recognition Algorithms

Pradipta Maji,Sushmita Paul
Scalable Pattern Recognition Algorithms Book PDF

Author : Pradipta Maji,Sushmita Paul
Publisher : Springer Science & Business Media
Page : 316 pages
File Size : 50,7 Mb
Release : 2014-03-19
Category : Computers
ISBN : 9783319056302

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Scalable Pattern Recognition Algorithms by Pradipta Maji,Sushmita Paul Pdf

This book addresses the need for a unified framework describing how soft computing and machine learning techniques can be judiciously formulated and used in building efficient pattern recognition models. The text reviews both established and cutting-edge research, providing a careful balance of theory, algorithms, and applications, with a particular emphasis given to applications in computational biology and bioinformatics. Features: integrates different soft computing and machine learning methodologies with pattern recognition tasks; discusses in detail the integration of different techniques for handling uncertainties in decision-making and efficiently mining large biological datasets; presents a particular emphasis on real-life applications, such as microarray expression datasets and magnetic resonance images; includes numerous examples and experimental results to support the theoretical concepts described; concludes each chapter with directions for future research and a comprehensive bibliography.

Pattern Recognition in Bioinformatics

Tetsuo Shibuya,Hisashi Kashima,Jun Sese,Shandar Ahmad
Pattern Recognition in Bioinformatics Book PDF

Author : Tetsuo Shibuya,Hisashi Kashima,Jun Sese,Shandar Ahmad
Publisher : Springer
Page : 288 pages
File Size : 44,6 Mb
Release : 2012-11-04
Category : Computers
ISBN : 9783642341236

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Pattern Recognition in Bioinformatics by Tetsuo Shibuya,Hisashi Kashima,Jun Sese,Shandar Ahmad Pdf

This book constitutes the refereed proceedings of the 7th International Conference on Pattern Recognition in Bioinformatics, PRIB 2012, held in Tokyo, Japan, in November 2012. The 24 revised full papers presented were carefully reviewed and selected from 33 submissions. Their topics are widely ranging from fundamental techniques, sequence analysis to biological network analysis. The papers are organized in topical sections on generic methods, visualization, image analysis, and platforms, applications of pattern recognition techniques, protein structure and docking, complex data analysis, and sequence analysis.

Classification and Learning Using Genetic Algorithms

Sanghamitra Bandyopadhyay,Sankar Kumar Pal
Classification and Learning Using Genetic Algorithms Book PDF

Author : Sanghamitra Bandyopadhyay,Sankar Kumar Pal
Publisher : Springer Science & Business Media
Page : 320 pages
File Size : 50,6 Mb
Release : 2007-05-17
Category : Computers
ISBN : 9783540496076

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Classification and Learning Using Genetic Algorithms by Sanghamitra Bandyopadhyay,Sankar Kumar Pal Pdf

This book provides a unified framework that describes how genetic learning can be used to design pattern recognition and learning systems. It examines how a search technique, the genetic algorithm, can be used for pattern classification mainly through approximating decision boundaries. Coverage also demonstrates the effectiveness of the genetic classifiers vis-à-vis several widely used classifiers, including neural networks.

Artificial Neural Networks in Pattern Recognition

Friedhelm Schwenker,Neamat El Gayar
Artificial Neural Networks in Pattern Recognition Book PDF

Author : Friedhelm Schwenker,Neamat El Gayar
Publisher : Springer Science & Business Media
Page : 283 pages
File Size : 41,6 Mb
Release : 2010-03-25
Category : Computers
ISBN : 9783642121586

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Artificial Neural Networks in Pattern Recognition by Friedhelm Schwenker,Neamat El Gayar Pdf

This book constitutes the refereed proceedings of the 4th IAPR TC3 Workshop, ANNPR 2010, held in Cairo, Eqypt, in April 2010. The 23 revised full papers presented were carefully reviewed and selected from 42 submissions. The major topics of ANNPR are supervised and unsupervised learning, feature selection, pattern recognition in signal and image processing, and applications in data mining or bioinformatics.

Applied Decision-Making

Mauricio A. Sanchez,Leocundo Aguilar,Manuel Castañón-Puga,Antonio Rodríguez
Applied Decision Making Book PDF

Author : Mauricio A. Sanchez,Leocundo Aguilar,Manuel Castañón-Puga,Antonio Rodríguez
Publisher : Springer
Page : 215 pages
File Size : 52,9 Mb
Release : 2019-05-18
Category : Technology & Engineering
ISBN : 9783030179854

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Applied Decision-Making by Mauricio A. Sanchez,Leocundo Aguilar,Manuel Castañón-Puga,Antonio Rodríguez Pdf

This book gathers a collection of the latest research, applications, and proposals, introducing readers to innovations and concepts from diverse environments and systems. As such, it will provide students and professionals alike with not only cutting-edge information, but also new inspirations and potential research directions. Each chapter focuses on a specific aspect of applied decision making, e.g. in complex systems, computational intelligence, security, and ubiquitous computing.

Pattern Recognition in Bioinformatics

Marco Loog,Lodewyk Wessels,Marcel J.T. Reinders,Dick de Ridder
Pattern Recognition in Bioinformatics Book PDF

Author : Marco Loog,Lodewyk Wessels,Marcel J.T. Reinders,Dick de Ridder
Publisher : Springer
Page : 344 pages
File Size : 54,8 Mb
Release : 2011-10-29
Category : Computers
ISBN : 9783642248559

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Pattern Recognition in Bioinformatics by Marco Loog,Lodewyk Wessels,Marcel J.T. Reinders,Dick de Ridder Pdf

This book constitutes the refereed proceedings of the 6th International Conference on Pattern Recognition in Bioinformatics, PRIB 2011, held in Delft, The Netherlands, in November 2011. The 29 revised full papers presented were carefully reviewed and selected from 35 submissions. The papers cover the wide range of possible applications of bioinformatics in pattern recognition: novel algorithms to handle traditional pattern recognition problems such as (bi)clustering, classification and feature selection; applications of (novel) pattern recognition techniques to infer and analyze biological networks and studies on specific problems such as biological image analysis and the relation between sequence and structure. They are organized in the following topical sections: clustering, biomarker selection and classification, network inference and analysis, image analysis, and sequence, structure, and interactions.

Pattern Recognition in Bioinformatics

Jagath C.- Rajapakse,Bertil Schmidt,Gwenn Volkert
Pattern Recognition in Bioinformatics Book PDF

Author : Jagath C.- Rajapakse,Bertil Schmidt,Gwenn Volkert
Publisher : Springer
Page : 427 pages
File Size : 51,5 Mb
Release : 2007-09-19
Category : Science
ISBN : 9783540752868

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Pattern Recognition in Bioinformatics by Jagath C.- Rajapakse,Bertil Schmidt,Gwenn Volkert Pdf

This book constitutes the refereed proceedings of the International Workshop on Pattern Recognition in Bioinformatics, PRIB 2007, held in Singapore in October 2007. The 38 revised full papers presented were carefully reviewed and selected from 125 submissions. The papers discuss the applications of pattern recognition methods in the field of bioinformatics to solve problems in life sciences.