Electrocardiographic signal classification with evolutionary artificial neural networks
, 2012 This work presents an evolutionary ANN classifier system as an heart beat classification algorithm suitable for implementation on the PhysioNet/Computing in Cardiology Challenge 2011, whose aim is to develop an efficient algorithm able to run within a ...
A.G.B. Tettamanzi +8 more
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Editorial: Cybernetic systems: Fuzzy, Neural and Evolutionary Computing Approaches
Journal of Intelligent Systems, 2008 Siddique, N.H. +2 more
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Neural and Evolutionary Computing in Finite Element Analysis
Journal of computing and information technology, 1999 This paper presents a discussion of current neural and evolutionary techniques, applied to the field of Finite Element Analysis and Finite Element Mesh Generation. This numerical method is widely used in many science, and engineering analyses to compute many forms of static and dynamic fields and potentials, such as heat, stress or velocity, on a mesh ...
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Evolutionary algorithms: Overview and applications to European transport [PDF]
The present paper aims to analyse the research potential of Evolutionary Algorithms (EAs) in the light of their possible applications in the space-economy.
Aura Reggiani +2 more
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Genetic programming in data mining for drug discovery [PDF]
, 2004 Genetic programming (GP) is used to extract from rat oral bioavailability (OB) measurements simple, interpretable and predictive QSAR models which both generalise to rats and to marketed drugs in humans. Receiver Operating Characteristics (ROC) curves
Barrett, S.J., Langdon, W.B.
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Adaptive symbiotic organisms search technique for cost optimization of shell and tube heat exchanger
Journal of Thermal EngineeringNature inspired meta heuristics like swarm intelligence (SI), Artificial neural networks (ANN), evolutionary computing (EC) etc. have been used by researchers to solve single and multi-objective optimization problems of different fields. This work uses a
Jiten MAKADIA
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Evolutionary polymorphic neural network in chemical process modeling
, 2001 Evolutionary polymorphic neural network (EPNN) is a novel approach to modeling dynamic process systems. This approach has its basis in artificial neural networks and evolutionary computing.
Norman W Loney +3 more
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Novel Evolutionary and Neural Computation for Classification
Novel Evolutionary and Neural Computation for ClassificationArticle 富山大学・富理工博甲第172号・銭孝孝・2020/3/24 ...
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Cultural Learning in a Dynamic Environment: an Analysis of Both Fitness and Diversity in Populations of Neural Network Agents [PDF]
Evolutionary learning is a learning model that can be described as the iterative Darwinian process of fitness-based selection and genetic transfer of information leading to populations of higher fitness.
Dara Curran, Colm O'Riordan
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Optimizing deep learning models for on-orbit deployment through neural architecture search
Scientific ReportsAdvancements in spaceborne edge computing have facilitated the incorporation of Artificial Intelligence (AI)-powered chips into CubeSats, enabling intelligent data handling and enhanced analytical capabilities with greater operational autonomy.
Roberto Del Prete +6 more
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