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2000 Mathematics Subject Classification: 05C65, 62H30, 68T10, 62P10 (1)
2000 Mathematics Subject Classi¯cation: 68T50 Natural language processing (1)
Analysis, Applications, Design and Data Analysis, Fuzzy Mathematical Programming, Fuzzy System Models, Fuzzy Relations, Linguistic Modeling. (1)
Analysis; Applications; Design and Data Analysis; Fuzzy Mathematical Programming; Fuzzy System Models; Fuzzy Relations; Linguistic Modeling (1)
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2013 (3)
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Aproximadamente 19 registro(s) hasta el momento: (journal)

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Recurso libre

Genetic Algorithms Principles Towards Hidden Markov Model
Nabil M. Hewahi; Islamic University of Gaza, Palestine

Formato:	Peer-reviewed Article
Enlaces:	In this paper we propose a general approach based on Genetic Algorithms (GAs) to evolve Hidden Markov Models (HMM). The problem appears when experts assign probability values for HMM, they use only some limited inputs. The assigned probability values might…
Fecha:	2011-10-10
Recurso:	BRAIN: Broad Research in Artificial Intelligence and Neuroscience

Recurso libre

Geospatial Analysis Framework
Elisabeta Antonia Haller; “Mircea cel Bătrân” National College, Rm. Vâlcea

Formato:
Enlaces:	In a computerized society, the volume of data grows unexpectedly, making their processing time a very difficult task. A priority has become the processing of data in useful information and knowledge. Thus we can say that data mining is a…
Fecha:	2010-04-10
Recurso:	BRAIN: Broad Research in Artificial Intelligence and Neuroscience

Recurso libre

Some Results on Fuzzy Theory
Angel Garrido; National University of Distance Education, Madrid

Formato:	Works in progress, Discussions
Enlaces:	The apparition of Fuzzy Logic has had a double repercussion on scientific research, and has provoked two types of reactions. From a theoretical point of view, it is indeed a very usefulgeneralization of the classical Set Theory proposed by Boole…
Fecha:	2010-04-10
Recurso:	BRAIN: Broad Research in Artificial Intelligence and Neuroscience

Recurso libre

Time-Delay Artificial Neural Network Computing Models for Predicting Shelf Life of Processed Cheese
Sumit Goyal; National Dairy Research Institute, Karnal - Gyanendra Kumar Goyal; National Dairy Research Institute, Karnal

Formato:	Works in progress, Discussions
Enlaces:	This paper presents the capability of Time–delay artificial neural network models for predicting shelf life of processed cheese. Datasets were divided into two subsets (30 for training and 6 for validation). Models with single and multi layers were developed and…
Fecha:	2012-04-14
Recurso:	BRAIN: Broad Research in Artificial Intelligence and Neuroscience

Recurso libre

Application Of t-Cherry Junction Trees in Pattern Recognition
Tamas Szantai; Institute of Mathematics Budapest University of Technology and Economics - Edith Kovacs; Budapest College of Management

Formato:
Enlaces:	Pattern recognition aims to classify data (patterns) based ei-ther on a priori knowledge or on statistical information extracted from the data. In this paper we will concentrate on statistical pattern recognition using a new probabilistic approach which makes possible to…
Fecha:	2010-06-04
Recurso:	BRAIN: Broad Research in Artificial Intelligence and Neuroscience

Recurso libre

Data Mining Learning Models and Algorithms on a Scada System Data Repository
Maria Muntean; "1 Decembrie 1918" University of Alba Iulia - Ioan Ileană; "1 Decembrie 1918" University of Alba Iulia - Corina Rotar; "1 Decembrie 1918" University of Alba Iulia - Mircea Rîşteiu; "1 Decembrie 1918" University of Alba Iulia

Formato:
Enlaces:	This paper presents three data mining techniques appliedon a SCADA system data repository: NaÄ³ve Bayes, k-Nearest Neighbor and Decision Trees. A conclusion that k-Nearest Neighbor is a suitable method to classify the large amount of data considered is made finally…
Fecha:	2010-06-04
Recurso:	BRAIN: Broad Research in Artificial Intelligence and Neuroscience

Recurso libre

Mapping Between Semantic Graphs and Sentences in Grammar Induction System
Laszlo Kovacs; University of Miskolc

Formato:
Enlaces:	The proposed transformation module performs mapping be-tween two di®erent knowledge representation forms used in grammar induction systems. The kernel knowledge representation form is a special predicate centered conceptual graph called ECG. The ECG provides a semantic-based, language independent description of…
Fecha:	2010-06-04
Recurso:	BRAIN: Broad Research in Artificial Intelligence and Neuroscience

Recurso libre

Quo vadis, Intelligent Machine?
Rosemarie Velik; Fatronik–Tecnalia, San Sebastián, Spain & Institute of Computer Technology, Vienna University of Technology, Vienna, Austria

Formato:	Works in progress, Discussions
Enlaces:	Artificial Intelligence (AI) is a branch of computer science concerned with making computers behave like humans. At least this was the original idea. However, it turned out that this is no task easy to be solved. This article aims to…
Fecha:	2010-09-04
Recurso:	BRAIN: Broad Research in Artificial Intelligence and Neuroscience

Recurso libre

Intelligent Flowcharting Developmental Approach to Legal Knowledge Based System
Nitin Balaji Bilgi; Gogte Institute of Technology,Udyambag, Belgaum - R. V. Kulkarni; Chh. Shahu Central Institute of Business Education and Research SIBER, Kolhapur

Formato:	Peer-reviewed Article
Enlaces:	The basic aim of this research, described in this paper is to develop a hybrid legal expert system/ knowledge based system, with specific reference to the transfer of property act, within the Indian legal system which is often in demand.…
Fecha:	2011-10-10
Recurso:	BRAIN: Broad Research in Artificial Intelligence and Neuroscience

Recurso libre

10.

An Efficient Expert System Generator for Qualitative Feed-Back Loop Analysis
Manoj Kumar Jain; Mohanlal Sukhadia University, Udaipur, India

Formato:	Peer-reviewed Article
Enlaces:	Quite often the variables used in system analysis are qualitative in nature. They cannot be defined precisely, whereas software development for system analysis needs a mathematical framework with precise computations. It is not trivial to capture the uncertainty in the…
Fecha:	2012-04-14
Recurso:	BRAIN: Broad Research in Artificial Intelligence and Neuroscience

Recurso libre

11.

Neuroevolution Mechanism for Hidden Markov Model
Nabil M. Hewahi; Bahrain University

Formato:	Works in progress, Discussions
Enlaces:	Hidden Markov Model (HMM) is a statistical model based on probabilities. HMM is becoming one of the major models involved in many applications such as natural languageprocessing, handwritten recognition, image processing, prediction systems and many more. In this research we…
Fecha:	2011-12-28
Recurso:	BRAIN: Broad Research in Artificial Intelligence and Neuroscience

Recurso libre

12.

An Efficient Expert System Generator for Qualitative Feed-Back Loop Analysis
Manoj Kumar Jain; Mohanlal Sukhadia University, Udaipur

Formato:	Peer-reviewed Article
Enlaces:	Quite often the variables used in system analysis are qualitative in nature. They cannot be defined precisely, whereas software development for system analysis needs a mathematical framework with precise computations. It is not trivial to capture the uncertainty in the…
Fecha:	2012-04-14
Recurso:	BRAIN: Broad Research in Artificial Intelligence and Neuroscience

Recurso libre

13.

Artificial Neuron Modelling Based on Wave Shape
Kieran Greer; Distributed Computing Systems, Belfast

Formato:
Enlaces:	This paper describes a new model for an artificial neural network processing unit or neuron. It is slightly different to a traditional feedforward network by the fact that it favours a mechanism of trying to match the wave-like ‘shape’ of…
Fecha:	2013-10-13
Recurso:	BRAIN: Broad Research in Artificial Intelligence and Neuroscience

Recurso libre

14.

Designing a Growing Functional Modules “Artificial Brain”
Jérôme Leboeuf-Pasquier; University of Guadalajara - Eduardo José González Pacheco Oceguera; University of Guadalajara

Formato:	Works in progress, Discussions
Enlaces:	The present paper illustrates the design process for the Growing Functional Modules (GFM) learning based controller. GFM controllers are elaborated interconnecting four kinds of components: Global Goals, Acting Modules, Sensations and Sensing Modules. Global Goals trigger intrinsic motivations, Acting and…
Fecha:	2012-05-12
Recurso:	BRAIN: Broad Research in Artificial Intelligence and Neuroscience

Recurso libre

15.

AIDEN: A Density Conscious Artificial Immune System for Automatic Discovery of Arbitrary Shape Clusters in Spatial Patterns
Vishwambhar Pathak; Birla Institute of Technology, Mesra, Ranchi - Praveen Dhyani; Banasthali University, Jaipur Campus - Prabhat Mahanti; University of New Brunswick, New Brunswick

Formato:	Peer-reviewed Article
Enlaces:	Recent efforts in modeling of dynamics of the natural immune cells leading to artificial immune systems (AIS) have ignited contemporary research interest in finding out its analogies to real world problems. The AIS models have been vastly exploited to develop…
Fecha:	2012-11-05
Recurso:	BRAIN: Broad Research in Artificial Intelligence and Neuroscience

Recurso libre

16.

Evolving Spiking Neural Networks for Control of Artificial Creatures
Arash Ahmadi; University of Southampton, Southampton

Formato:
Enlaces:	To understand and analysis behavior of complicated and intelligent organisms, scientists apply bio-inspired concepts including evolution and learning to mathematical models and analyses. Researchers utilize these perceptions in different applications, searching for improved methods andapproaches for modern computational systems. This…
Fecha:	2013-10-13
Recurso:	BRAIN: Broad Research in Artificial Intelligence and Neuroscience

Recurso libre

17.

Some Consequences of the Complexity of Intelligent Prediction
Joel Ratsaby; Ariel University Center

Formato:
Enlaces:	What is the relationship between the complexity of a learnerand the randomness of his mistakes? This question was posed in [4] who showed that the more complex the learner the higher the possibility that his mistakes deviate from a true…
Fecha:	2010-06-04
Recurso:	BRAIN: Broad Research in Artificial Intelligence and Neuroscience

Recurso libre

18.

Hybridization of Fuzzy Clustering and Hierarchical Method for Link Discovery
Enseih Davoodi Jam; University of Isfahan, Isfahan - Mohammadali Nematbakhsh; University of Isfahan, Isfahan - Mojgan Askarizade; University of Isfahan, Isfahan

Formato:	Works in progress, Discussions
Enlaces:	Clustering is an active research topic in data mining and different methods have been proposed in the literature. Most of these methods are based on numerical attributes. Recently, there have been several proposals to develop clustering methods that support mixed…
Fecha:	2012-11-05
Recurso:	BRAIN: Broad Research in Artificial Intelligence and Neuroscience

Recurso libre

19.

Brain-Like Artificial Intelligence for Automation – Foundations, Concepts and Implementation Examples
Rosemarie Velik; CTR Carinthian Tech Research, Villach

Formato:
Enlaces:	Over the last decades, automation technology has made serious progress and can today automate a wide range of tasks having before needed human physical and mental abilities. Nevertheless, a number of important problem domains remain that cannot yet be handled…
Fecha:	2013-10-13
Recurso:	BRAIN: Broad Research in Artificial Intelligence and Neuroscience