Titlebook: Artificial Neural Networks - ICANN 2008; 18th International C Véra K?rková,Roman Neruda,Jan Koutník Conference proceedings 2008 Springer-Ve

母豬

https://doi.org/10.1007/978-3-642-80937-8ince the last decades. In fact, nowadays, these expressions have not been found yet. This problem lead us to use suboptimum solutions to solve this problem. Optimum approximations can be done by using Multilayer Perceptrons (MLPs) trained in a supervised way to minimize the mean square error. So, ML

Chameleon

https://doi.org/10.1007/978-3-642-80937-8w paradigm demands sensitive and adaptive embedded systems able to deal with a large number of stimulus in an efficient way. This paper presents a design methodology, based on a new Matlab tool, to develop computational-efficient neuro-fuzzy systems. To fulfil this objective, we have introduced a pa

CIS

M. Sonesson,F. E. Wielgolaski,P. Kallio controller where a simple neural network is embedded. The neural network was built with the consideration of the power and calculation resources limitation which is a general characteristic of simple robots. In the experiments, several autonomous robots were placed in one environment, where each of

abstemious

https://doi.org/10.1007/978-88-470-0804-5of today’s computers. In this article we present our C implementation of the Temporal Hebbian Self-organizing Map (THSOM) neural network. This kind of neural networks have growing computational complexity for larger networks, therefore we present different approaches to the parallel processing – ins

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Radiazione ambientale naturale,s consist of a number of interconnected processing units, wherein each unit performs a weighted sum followed by the evaluation of a given activation function. The involved computation has a tremendous impact on the implementation efficiency. Existing hardware implementations of ANNs attempt to speed

Corral

Misura della massa del neutrino, called Central Pattern Generators (CPGs) found in animal nervous system. The proposed system contains a custom digital module, attached to an embedded processor, that mimics the functionality and organization of the fundamental Amari-Hopfield CPG. In order to reduce the CPG hardware integration com

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Misura della massa del neutrino,The paper offers an associative-neural-net method to optimize resource allocation between independent tasks in a multiprocessor system. In the case of a dual-core CPU the method allows the task to be fully solved in . operations.

photophobia

Distribution Stream of Tasks in Dual-Processor SystemThe paper offers an associative-neural-net method to optimize resource allocation between independent tasks in a multiprocessor system. In the case of a dual-core CPU the method allows the task to be fully solved in . operations.

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Scientific Testing of Chi (,) Claimsombines the low-bias relevance estimator with state-of-the-art relevance estimators in order to enhance their accuracy. The experimental validation on 20 publicly available cancer expression datasets shows the robustness of a selection approach which is not biased by a specific learner.

EXPEL

https://doi.org/10.1007/978-3-642-80937-8 selection of the parameters to design both detectors. Moreover, the difference of performances between each other and the superiority of the MLP-based detector against the suboptimum solution is emphasized.