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ITHEA Classification Structure > D. Software  > D.1 PROGRAMMING TECHNIQUES  > D.1.m Miscellaneous 
ITHEA Classification Structure > I. Computing Methodologies  > I.2 ARTIFICIAL INTELLIGENCE  > I.2.6 Learning
IMPROVING ACTIVE RULES PERFORMANCE IN NEW P SYSTEM COMMUNICATION ARCHITECTURES
By: Juan Alberto de Frutos et al. (3645 reads)
Rating: (1.00/10)

Abstract: Membrane systems are models of computation which are inspired by some basic features of biological membranes. Transition P systems are very simple models. Many hardware and software architectures have been proposed for implementing them. In particular, there are implementations in cluster of processors, in microcontrollers and in specialized hardware. This work proposes an analysis of the P system in order to be able to reduce the execution time of a given evolution step. We present a solution for improving the time of working out the active rules subset of a membrane. This task is critical for the entire evolution process efficiency because it is performed inside each membrane in every evolution step. Therefore, we propose to carry out a static analysis over the P system. The collected information is used for obtaining a decision tree for each membrane. During the execution time of the P system, active rules of a membrane will be determined as a result of a classification problem from the corresponding decision tree. By incorporating decision trees for this task, we will notice some improvements.

Keywords: Decision Tree, ID3, Active Rules, Transition P System

ACM Classification Keywords: I.2.6 Learning – Decision Tree; D.1.m Miscellaneous – Natural Computing

Link:

IMPROVING ACTIVE RULES PERFORMANCE IN NEW P SYSTEM COMMUNICATION ARCHITECTURES

Juan Alberto de Frutos, Luis Fernández, Carmen Luengo, Alberto Arteta

http://www.foibg.com/ijitk/ijitk-vol04/ijitk04-1-p01.pdf

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D.1.m Miscellaneous
article: PODCASTS: A BRIDGE FROM E-LEARNING TO M-LEARNING · MEMBRANE COMPUTING: NON DETERMINISTIC TECHNIQUE TO CALCULATE EXTINGUISHED ... · IMPLEMENTING TRANSITION P SYSTEMS · IMPROVING ACTIVE RULES PERFORMANCE IN NEW P SYSTEM COMMUNICATION ARCHITECTURES · MILIEU-M: VISUAL MANIPULATION AND PROGRAMMING FOR MULTI-MEMBRANES. · A WEB IMPLEMETATION OF A GENERALIZED NEP · TOOL TO THE BACILLUS MYCOBACTERIUM TUBERCULOSIS · VIRTUAL MEMBRANE SYSTEMS · FAST LINEAR ALGORITHM FOR ACTIVE RULES APPLICATION IN TRANSITION P SYSTEMS · FAST LINEAR ALGORITHM FOR ACTIVE RULES APPLICATION IN TRANSITION P SYSTEMS · P SYSTEMS GÖDELIZATION ·
I.2.6 Learning
article: A STUDY OF APPLICATION OF NEURAL NETWORK TECHNIQUE ON SOFTWARE REPOSITORIES · SEMANTIC NET FROM CONCEPTS AS A MODEL OF STUDENT’S KNOWLEDGE: HOW STABLE ARE ... · МЕТОД ПОИСКА РЕШЕНИЙ В ИНТЕЛЛЕКТУАЛЬНЫХ СИСТЕМАХ ПОДДЕРЖКИ ПРИНЯТИЯ РЕШЕНИЙ ... · THE MODEL FOR THE COMBINED CASCADE RADIAL BASIS NEURAL NETWORK AND ITS ... · DIDACTIC DESIGNING OF RESOURCE SUPPORT FOR TRAINING ENVIRONMENT · КОМПЛЕКСНЫЙ АНАЛИЗ РИСКА БАНКРОТСТВА КОРПОРАЦИЙ В УСЛОВИЯХ НЕОПРЕДЕЛЕННОСТИ · IMPROVING ACTIVE RULES PERFORMANCE IN NEW P SYSTEM COMMUNICATION ARCHITECTURES · SOFTWARE EFFORT ESTIMATION USING RADIAL BASIS FUNCTION NEURAL NETWORKS · CONCEPTUAL KNOWLEDGE MODELING ON THE BASIS OF NATURAL CLASSIFICATION · A COMPUTER METHOD TO STUDY THE ENTIRETY OF STUDENTS’ KNOWLEDGE ACQUIRED DURING A · INTELLIGENT TRADING SYSTEMS · MODELING OF COGNITIVE PROCESSES BY NETWORK MODELS · ADAPTIVE FUZZY PROBABILISTIC CLUSTERING OF INCOMPLETE DATA · Polynomial Regression using a Perceptron with Axo-axonic Connections · RESERVOIR FORECASTING NEURO-FUZZY NETWORK AND ITS LEARNING · MODELING OF COGNITIVE PROCESSES BY NETWORK MODELS · POLYNOMIAL APPROXIMATION USING PARTICLE SWARM OPTIMIZATION OF LINEAR ... · ФОРМИРОВАНИЕ БАЗОВЫХ СТРУКТУР ВОСПРИЯТИЯ И · DECISIONS ON SELECTING THE TRAINING ALGORITHM OF THE NEURAL NETWORK WITH ... · ОБУЧЕНИЕ РЕКУРРЕНТНЫХ НЕЙРОННЫХ СЕТЕЙ МЕТО · ЧИСЛЕННЫЕ МЕРЫ “СПЛОЧЕННОСТИ” ИМЕННЫХ ГРУ · ADAPTIVE CLUSTERING OF INCOMPLETE DATA USING NEURO-FUZZY KOHONEN NETWORK · INTELLIGENT ANALYSIS OF MARKETING DATA · STUDY THE QUALITY OF GLOBAL NEURAL MODEL WITH REGARD TO LOCAL MODELS OF ... · HYBRID CASCADE NEURAL NETWORK BASED ON WAVELET-NEURON · ARTIFICIAL INTELLIGENCE IN MONITORING SYSTEM · TACIT KNOWLEDGE AS A RESOURCE FOR ORGANIZATIONS AND ITS INTENSITY IN VARIOUS ... · THE E-LEARNING SYSTEM WITH EMBEDDED NEURAL NETWORK · ИССЛЕДОВАНИЕ МНОГОКРИТЕРИАЛЬНОЙ ЗАДАЧИ ОП� · ЭКСПЕРИМЕНТАЛЬНОЕ ИЗУЧЕНИЕ ЦЕЛОСТНОСТИ ЗН� · SELECTIVE EVOLUTION CONTROL METHOD FOR EVOLUTION STRATEGIES WITH NEURAL ... · EVOLVING CASCADE NEURAL NETWORK BASED ON MULTIDIMESNIONAL EPANECHNIKOV’S ... · ADAPTIVE NEURO-FUZZY KOHONEN NETWORK WITH VARIABLE FUZZIFIER · CONCEPTUAL KNOWLEDGE MODELING AND SYSTEMATIZATION ON THE BASIS OF NATURAL ... · ON COORDINATION OF EXPERTS’ ESTIMATIONS OF QUANTITATIVE VARIABLE∗ · THE CASCADE NEO-FUZZY ARCHITECTURE AND ITS ONLINE LEARNING ALGORITHM · THE CASCADE GROWING NEURAL NETWORK USING QUADRATIC NEURONS AND ITS LEARNING ... · EDUKIT: INFO-EDUCATIONAL PLATFORM ENABLING TO CREATE WEBSITES FOR SECONDARY ... · SYSTEMOLOGICAL CLASSIFICATION ANALYSIS IN CONCEPTUAL KNOWLEDGE MODELING · ANALOGIES BETWEEN TEXTS: MATHEMATICAL MODELS AND APPLICATIONS IN ... · HYBRID SYSTEMS OF COMPUTATIONAL INTELLIGENCE EVOLVED FROM SELFLEARNING ... · THE CASCADE NEO-FUZZY ARCHITECTURE USING CUBIC–SPKINE ACTIVATION FUNCTIONS · ADAPTIVE COMPARTMENTAL WAVELON WITH ROBUST LEARNING ALGORITHM · THE CASCADE ORTHOGONAL NEURAL NETWORK · OUTLIERS RESISTANT LEARNING ALGORITHM FOR RADIAL-BASIS-FUZZY-WAVELET-NEURAL ... · MULTIDIMENSIONAL HETEROGENEOUS VARIABLE PREDICTION ... · THE CASCADE GROWING NEURAL NETWORK USING QUADRATIC NEURONS ... · ADAPTIVE GUSTAFSON-KESSEL FUZZY CLUSTERING ALGORITHM BASED ON ... · SEARCHING FOR NEAREST STRINGS WITH NEURAL-LIKE STRING EMBEDDING · MEASURE REFUTATIONS AND METRICS ON STATEMENTS OF EXPERTS ... · GROWING NEURAL NETWORKS USING NONCONVENTIONAL ACTIVATION FUNCTIONS · CONSTRUCTING OF A CONSENSUS OF SEVERAL EXPERTS STATEMENTS∗ · DECISION TREES FOR APPLICABILITY OF EVOLUTION RULES IN TRANSITION P SYSTEMS · APPROACHES TO SEQUENCE SIMILARITY REPRESENTATION · NEURAL NETWORK BASED APPROACH FOR DEVELOPING THE ENTERPRISE STRATEGY · ANALOGOUS REASONING AND CASE-BASED REASONING FOR INTELLIGENT ... · USING SENSITIVITY AS A METHOD FOR RANKING THE TEST CASES CLASSIFIED ... · DIAGARA: AN INCREMENTAL ALGORITHM FOR INFERRING IMPLICATIVE RULES FROM EXAMPLES · A NEW APPROACH FOR ELIMINATING THE SPURIOUS STATES ... · ADAPTIVE WAVELET-NEURO-FUZZY NETWORK IN THE FORECASTING ... ·
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