Adaptive Learning of Polynomial Networks : Genetic Programming, Backpropagation and Bayesian Methods

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Cover of 'Adaptive Learning of Polynomial Networks : Genetic Programming, Backpropagation and Bayesian Methods'

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Attention for Chapter 2: Inductive Genetic Programming

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So far, Dimensions has found 27 publications that cite this research output.

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A novel insight into the design of perforated-finned heat sinks based on a hybrid procedure: Computational fluid dynamics, machine learning, multi-objective optimization, and multi-criteria decision-making

Article in International Communications in Heat and Mass Transfer (June 2024)

Optimization of thermophysical properties of nanofluids using a hybrid procedure based on machine learning, multi-objective optimization, and multi-criteria decision-making

Article in Chemical Engineering Journal (April 2024)

Combining artificial intelligence and computational fluid dynamics for optimal design of laterally perforated finned heat sinks

Article in Results in Engineering (March 2024)

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