Evolutionary Computing within Grid Environment. [PDF]
, 2007 Evolutionary computing (EC) techniques such as genetic algorithm (GA), genetic programming (GP), evolutionary programming (EP) and evolution strategies (ES) mimic nature through natural selection to perform complex optimisation processes that require ...
Tiwari, Ashutosh +2 more
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Computing resources sensitive parallelization of neural neworks for large scale diabetes data modelling, diagnosis and prediction [PDF]
, 2011 This thesis was submitted for the degree of Doctor of Philosophy and awarded by Brunel University.Diabetes has become one of the most severe deceases due to an increasing number of diabetes patients globally.
Qi, Hao
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Evolutionary Optimization of Spiking Neural P Systems for Remaining Useful Life Prediction
Algorithms, 2022 Remaining useful life (RUL) prediction is a key enabler for predictive maintenance. In fact, the possibility of accurately and reliably predicting the RUL of a system, based on a record of its monitoring data, can allow users to schedule maintenance ...
Leonardo Lucio Custode +3 more
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Engineering Proceedings, 2023 The methodology basic principles of the neuro-evolutionary synthesis of multi-object multi-criteria systems control models under conflict and uncertainty in real time are discussed.
Vladimir A. Serov +3 more
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Evolution of Brains and Computers: The Roads Not Taken
Entropy, 2022 When computers started to become a dominant part of technology around the 1950s, fundamental questions about reliable designs and robustness were of great relevance.
Ricard Solé, Luís F. Seoane
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Automatic generation of a neural network architecture using evolutionary computation [PDF]
Proceedings Electronic Technology Directions to the Year 2000, 2002 This paper reports the application of evolutionary computation in the automatic generation of a neural network architecture. It is a usual practice to use trial and error to find a suitable neural network architecture. This is not only time consuming but may not generate an optimal solution for a given problem.
Vonk, E. +3 more
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Editorial: Special Issue on «Advanced Computing: from Theory to Practice»
Труды Института системного программирования РАН, 2019 This special issue contains selected papers that had been submitted to Proceedings of the Institute for System Programming of the Russian Academy of Sciences.
Andrei Tchernykh, Allel Hadjali
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Enhancing the prediction of vitamin D deficiency levels using an integrated approach of deep learning and evolutionary computing [PDF]
PeerJ Computer ScienceVitamin D deficiency (VDD) has emerged as a serious global health concern that can lead to far-reaching consequences, including skeletal issues and long-term illness.
Ahmed Alzahrani, Muhammad Zubair Asghar
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Efficient Network Architecture Search Using Hybrid Optimizer
Entropy, 2022 Manually designing a convolutional neural network (CNN) is an important deep learning method for solving the problem of image classification. However, most of the existing CNN structure designs consume a significant amount of time and computing resources.
Ting-Ting Wang +4 more
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An intelligent computing technique in identification problems
Computer Assisted Methods in Engineering and Science, 2022 The paper is devoted to the application of the evolutionary algorithms, gradient methods and artificial neural networks to identification problems in mechanical structures.
Piotr Orantek
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