Titlebook: Knowledge-Based and Intelligent Information and Engineering Systems; 14th International C Rossitza Setchi,Ivan Jordanov,Lakhmi C. Jain Conf

Figate

A Neural Network Model to Develop Urban AcupunctureThe main objective of this paper is to relate the concept of urban acupuncture with the use of a neural network algorithm to determine those points where developing actions in order to improve the quality life in cities. We apply the neural network model GNG3D to the design of a simplified network in a real city of our surrounding.

褲子

A Classification Algorithm for Process Sequences Based on Markov Chains and Bayesian Networksearch. We propose a classification method based on Markov chains and Bayesian networks for predicting such properties like the remaining process flow, especially the next task in the process path, and the class of the process. This approach is applied and tested on real-world data, showing some interesting results and hints for further research.

樂意

University Course Timetabling Using ACO: A Case Study on Laboratory Exerciseshighly constrained real–world instance of the university course timetabling problem. We present the design of the memory–efficient construction graph and a sophisticated solution construction procedure. The system devised here has been successfully used for timetabling at the authors’ institution.

Obstruction

filicide

Coaching to Enhance the Online Behavior Learning of a Robotic Agentevaluation. We demonstrated that the agent is capable of learning the desired behavior by being given simple and subjective instruction such as “good and bad”, The proposed approach is also effective when it is difficult to determine a suitable reward function for the learning situation in advance.

豐滿中國

ICLE

quiet-sleep

https://doi.org/10.1007/978-3-642-15387-7Markov chain; classification; cognition; computational neuroscience; cooperation; data mining; genetic alg

FLASK

978-3-642-15386-0Springer-Verlag Berlin Heidelberg 2010

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Knowledge-Based and Intelligent Information and Engineering Systems978-3-642-15387-7Series ISSN 0302-9743 Series E-ISSN 1611-3349