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    • Artículo
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      Coordinated motion planning of manipulators by evolution strategies 

      Ridao Olivar, Miguel Ángel; Riquelme Santos, José Cristóbal; Camacho, Eduardo F.; Toro Bonilla, Miguel (WIT Press, 1995)
      A method for obtaining coordinated motion plans of manipulator robots is presented. This planning can be easily implemented ...
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      Qualitative modelling in ecology 

      Toro Bonilla, Miguel (International Center for Numerical Methods in Engineering, 1995)
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      Qualitative Simulation and Automated Causal Reasoning 

      Dolado, José Javier; Toro Bonilla, Miguel (International Center for Numerical Methods in Engineering, 1995)
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      Decision Queue Classifier for Supervised Learning Using Rotated Hyperboxes 

      Aguilar Ruiz, Jesús Salvador; Riquelme Santos, José Cristóbal; Toro Bonilla, Miguel (1998)
      This article describes a new system for learning rules using rotated hyperboxes as individuals of a genetic algorithm (GA). ...
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      Overload screening of transmission systems using neural networks 

      Riquelme Santos, José Cristóbal; Gómez Expósito, Antonio; Martínez Ramos, José Luis; Peças Lopes, J.A. (1998)
      The process of determining whether a power system is in a secure or insecure state is a crucial task which must be addressed ...
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      Three Geometric Approaches for representing Decision Rules in a Supervised Learning System 

      Aguilar, Jesús S.; Riquelme Santos, José Cristóbal; Toro Bonilla, Miguel (Morgan Kaufmann Publishers Inc, 1999)
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      Automatic Generation of Collision-Free Programs for Multiple Manipulators Using Evolutive Algorithms 

      Ridao Olivar, Miguel Ángel; Riquelme Santos, José Cristóbal; Camacho, Eduardo F.; Toro Bonilla, Miguel (World Scientific and Engineering Academy and Society, 1999)
      A method based on Evolutionary Algorithms for obtaining coordinated motion plans of multiple manipulator robots using a ...
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      A Distributed Solution to Synchronous Multiparty Interaction 

      Corchuelo Gil, Rafael; Ruiz Cortés, David; Toro Bonilla, Miguel; Arjona, José L.; Prieto, José M. (World Scientific and Engineering Academy and Society, 1999)
      Multiparty interactions are the key to describe problems where three or more processes need to collaborate simultaneously ...
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      Semiqualitative Temporal Patterns in Time-Series Databases 

      Ortega Ramírez, Juan Antonio; Martínez Gasca, Rafael; Toro Bonilla, Miguel; Galán Morillo, Francisco José; Cañete Valdeón, José Miguel (Edición Digital @tres, 2000)
      A way to obtain behaviour patterns of semiqualitative models of dynamic systems automatically is proposed in this paper. ...
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      Using constraint programming framework for Semiqualitative Reasoning 

      Martínez Gasca, Rafael; Ortega Ramírez, Juan Antonio; Toro Bonilla, Miguel; Torres Valderrama, Jesús; Cordero Valle, Juan Manuel (Edición Digital @tres, 2000)
      A semiqualitative model is the representation of the world by means of qualitative and quantitative knowledge. It is ...
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      OBLIC: Classification System Using Evolutionary Algorithm 

      Alvarez Macías, José Luis; Mata Vázquez, Jacinto; Riquelme Santos, José Cristóbal (2001)
      We present a new classification system based on Evolutionary Algorithm (EA), OBLIC. This tool is an OBLIque Classification ...
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      Separation Surfaces through Genetic Programming 

      Riquelme Santos, José Cristóbal; Giráldez Rojo, Raúl; Aguilar Ruiz, Jesús Salvador; Ruiz Sánchez, Roberto (2001)
      The aim of this paper is to describe a study for the obtaining, symbolically, of the separation surfaces between clusters ...
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      Non-parametric Nearest Neighbor with Local Adaptation 

      Ferrer Troyano, Francisco Javier; Aguilar Ruiz, Jesús Salvador; Riquelme Santos, José Cristóbal (2001)
      The k-Nearest Neighbor algorithm (k-NN) uses a classification criterion that depends on the parameter k. Usually, the value ...
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      SOAP: Efficient Feature Selection of Numeric Attributes 

      Ruiz Sánchez, Roberto; Aguilar Ruiz, Jesús Salvador; Riquelme Santos, José Cristóbal (2002)
      The attribute selection techniques for supervised learning, used in the preprocessing phase to emphasize the most relevant ...
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      An evolutionary algorithm to discover numeric association rules 

      Mata Vázquez, Jacinto; Alvarez Macías, José Luis; Riquelme Santos, José Cristóbal (2002)
      Association rules are one of the most used tools to discover relationships among attributes in a database. Nowadays, there ...
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      Mining interesting regions using an evolutionary algorithm 

      Alvarez Macías, José Luis; Mata Vázquez, Jacinto; Riquelme Santos, José Cristóbal (2002)
      In this paper, we offer a new method to induce interesting knowledge from the relevant sets of data in databases for ...
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      A Comparison of Two Techniques for Next- Day Electricity Price Forecasting 

      Troncoso Lora, Alicia; Riquelme Santos, Jesús Manuel; Riquelme Santos, José Cristóbal; Gómez Expósito, Antonio; Martínez Ramos, José Luis (2002)
      In the framework of competitive markets, the market’s participants need energy price forecasts in order to determine their ...
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      Electricity Market Price Forecasting: Neural Networks versus Weighted-Distance k Nearest Neighbours 

      Troncoso Lora, Alicia; Riquelme Santos, José Cristóbal; Riquelme Santos, Jesús Manuel; Martínez Ramos, José Luis; Gómez Expósito, Antonio (2002)
      In today’s deregulated markets, forecasting energy prices is becoming more and more important. In the short term, expected ...
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      Visualization techniques of management rules for software development projects 

      Mata Vázquez, Jacinto; Alvarez Macías, José Luis; Riquelme Santos, José Cristóbal; Ramos Román, Isabel; Aguilar Ruiz, Jesús Salvador; Ferrer Troyano, Francisco Javier (2003)
      The application of data mining techniques to the managing of software development projects (SDP) is not an uncommon ...
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      Fast Feature Ranking Algorithm 

      Ruiz Sánchez, Roberto; Riquelme Santos, José Cristóbal; Aguilar Ruiz, Jesús Salvador (2003)
      The attribute selection techniques for supervised learning, used in the preprocessing phase to emphasize the most relevant ...