State of the Art on Grammatical Inference Using Evolutionary Method

State of the Art on Grammatical Inference Using Evolutionary Method presents an approach for grammatical inference (GI) using evolutionary algorithms. Grammatical inference deals with the standard learning procedure to acquire grammars based on evidence about the language. It has been extensively studied due to its high importance in various fields of engineering and science. The book's prime purpose is to enhance the current state-of-the-art of grammatical inference methods and present new evolutionary algorithms-based approaches for context free grammar induction. The book's focus lies in the development of robust genetic algorithms for context free grammar induction. The new algorithms discussed in this book incorporate Boolean-based operators during offspring generation within the execution of the genetic algorithm. Hence, the user has no limitation on utilizing the evolutionary methods for grammatical inference. Discusses and summarizes the latest developments in Grammatical Inference, with a focus on Evolutionary Methods Provides an understanding of premature convergence as well as genetic algorithms Presents a performance analysis of genetic algorithms as well as a complete look into the wide range of applications of Grammatical Inference methods Demonstrates how to develop a robust experimental environment to conduct experiments using evolutionary methods and algorithms

Produk Detail:

  • Author : Hari Mohan Pandey
  • Publisher : Academic Press
  • Pages : 232 pages
  • ISBN : 9780128221167
  • Rating : 4/5 from 21 reviews
CLICK HERE TO GET THIS BOOKState of the Art on Grammatical Inference Using Evolutionary Method

State of the Art on Grammatical Inference Using Evolutionary Method

State of the Art on Grammatical Inference Using Evolutionary Method
  • Author : Hari Mohan Pandey
  • Publisher : Academic Press
  • Release : 15 November 2021
GET THIS BOOKState of the Art on Grammatical Inference Using Evolutionary Method

State of the Art on Grammatical Inference Using Evolutionary Method presents an approach for grammatical inference (GI) using evolutionary algorithms. Grammatical inference deals with the standard learning procedure to acquire grammars based on evidence about the language. It has been extensively studied due to its high importance in various fields of engineering and science. The book's prime purpose is to enhance the current state-of-the-art of grammatical inference methods and present new evolutionary algorithms-based approaches for context free grammar induction. The

Decision Technologies for Financial Engineering

Decision Technologies for Financial Engineering
  • Author : Andreas S. Weigend,Yaser Abu-Mostafa,A.-Paul N. Refenes
  • Publisher : World Scientific
  • Release : 02 January 1998
GET THIS BOOKDecision Technologies for Financial Engineering

This volume selects the best contributions from the Fourth International Conference on Neural Networks in the Capital Markets (NNCM). The conference brought together academics from several disciplines with strategists and decision makers from the financial industries. The various chapters present and compare new techniques from many areas including data mining, information systems, machine learning, and statistical artificial intelligence. The volume focuses on evaluating their usefulness for problems in computational finance and financial engineering. Applications — risk management; asset allocation; dynamic trading

Pattern Mining with Evolutionary Algorithms

Pattern Mining with Evolutionary Algorithms
  • Author : Sebastián Ventura,José María Luna
  • Publisher : Springer
  • Release : 13 June 2016
GET THIS BOOKPattern Mining with Evolutionary Algorithms

This book provides a comprehensive overview of the field of pattern mining with evolutionary algorithms. To do so, it covers formal definitions about patterns, patterns mining, type of patterns and the usefulness of patterns in the knowledge discovery process. As it is described within the book, the discovery process suffers from both high runtime and memory requirements, especially when high dimensional datasets are analyzed. To solve this issue, many pruning strategies have been developed. Nevertheless, with the growing interest in

Genetic Programming

Genetic Programming
  • Author : Penousal Machado,Malcolm I. Heywood,James McDermott,Mauro Castelli,Pablo García-Sánchez,Paolo Burelli,Sebastian Risi,Kevin Sim
  • Publisher : Springer
  • Release : 14 March 2015
GET THIS BOOKGenetic Programming

This book constitutes the refereed proceedings of the 18th European Conference on Genetic Programming, EuroGP 2015, held in Copenhagen, Spain, in April 2015 co-located with the Evo 2015 events, EvoCOP, Evo MUSART and Evo Applications. The 12 revised full papers presented together with 6 poster papers were carefully reviewed and selected form 36 submissions. The wide range of topics in this volume reflects the current state of research in the field. Thus, we see topics as diverse as semantic methods, recursive programs, grammatical methods, coevolution, Cartesian

Formal Methods for Components and Objects

Formal Methods for Components and Objects
  • Author : Frank S. de Boer,Marcello M. Bonsangue,Stefan Hallerstede,Michael Leuschel
  • Publisher : Springer
  • Release : 11 November 2010
GET THIS BOOKFormal Methods for Components and Objects

All modern industries rely on large and complex software systems. In order to construct such large systems in a systematic manner, the focus of the development methodologies has switched in the last two decades from functional to structural issues. Formal methods have been applied successfully to the verification of medium-sized programs in protocol and hardware design. However, their application to the development of large systems requires a greater emphasis on specification, modeling, and validation techniques supporting the concepts of reusability

Scientific Applications of Language Methods

Scientific Applications of Language Methods
  • Author : Carlos Mart¡n Vide
  • Publisher : World Scientific
  • Release : 18 September 2021
GET THIS BOOKScientific Applications of Language Methods

Presenting interdisciplinary research at the forefront of present advances in information technologies and their foundations, Scientific Applications of Language Methods is a multi-author volume containing pieces of work (either original research or surveys) exemplifying the application of formal language tools in several fields, including logic and discrete mathematics, natural language processing, artificial intelligence, natural computing and bioinformatics.

Grammatical Inference

Grammatical Inference
  • Author : Colin de la Higuera
  • Publisher : Cambridge University Press
  • Release : 01 April 2010
GET THIS BOOKGrammatical Inference

The problem of inducing, learning or inferring grammars has been studied for decades, but only in recent years has grammatical inference emerged as an independent field with connections to many scientific disciplines, including bio-informatics, computational linguistics and pattern recognition. This book meets the need for a comprehensive and unified summary of the basic techniques and results, suitable for researchers working in these various areas. In Part I, the objects of use for grammatical inference are studied in detail: strings and

Handbook of the Neuroscience of Language

Handbook of the Neuroscience of Language
  • Author : Brigitte Stemmer,Harry A. Whitaker
  • Publisher : Academic Press
  • Release : 29 April 2008
GET THIS BOOKHandbook of the Neuroscience of Language

In the last ten years the neuroscience of language has matured as a field. Ten years ago, neuroimaging was just being explored for neurolinguistic questions, whereas today it constitutes a routine component. At the same time there have been significant developments in linguistic and psychological theory that speak to the neuroscience of language. This book consolidates those advances into a single reference. The Handbook of the Neuroscience of Language provides a comprehensive overview of this field. Divided into five sections,

Towards Hybrid and Adaptive Computing

Towards Hybrid and Adaptive Computing
  • Author : Anupam Shukla,Ritu Tiwari,Rahul Kala
  • Publisher : Springer
  • Release : 18 September 2010
GET THIS BOOKTowards Hybrid and Adaptive Computing

Soft Computing today is a very vast field whose extent is beyond measure. The boundaries of this magnificent field are spreading at an enormous rate making it possible to build computationally intelligent systems that can do virtually anything, even after considering the hostile practical limitations. Soft Computing, mainly comprising of Artificial Neural Networks, Evolutionary Computation, and Fuzzy Logic may itself be insufficient to cater to the needs of various kinds of complex problems. In such a scenario, we need to

XIV Mediterranean Conference on Medical and Biological Engineering and Computing 2016

XIV Mediterranean Conference on Medical and Biological Engineering and Computing 2016
  • Author : Efthyvoulos Kyriacou,Stelios Christofides,Constantinos S. Pattichis
  • Publisher : Springer
  • Release : 31 March 2016
GET THIS BOOKXIV Mediterranean Conference on Medical and Biological Engineering and Computing 2016

This volume presents the proceedings of Medicon 2016, held in Paphos, Cyprus. Medicon 2016 is the XIV in the series of regional meetings of the International Federation of Medical and Biological Engineering (IFMBE) in the Mediterranean. The goal of Medicon 2016 is to provide updated information on the state of the art on Medical and Biological Engineering and Computing under the main theme “Systems Medicine for the Delivery of Better Healthcare Services”. Medical and Biological Engineering and Computing cover complementary disciplines that hold