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Here we demonstrate modifications to a neural network algorithm in ATHENA (the Analysis Tool for Heritable and Environmental Network Associations) resulting in clear performance improvements for discovering ... We employed an alternative tree-based crossover, backpropagation for locally fitting neural network weights, and incorporation of domain knowledge obtainable from publicly accessible biological databases ... Genetic Programming Neural Networks  and Grammatical Evolution Neural Networks (GENN)  use genetic programming  or grammatical evolution (GE)  to evolve populations of neural networks ...doi:10.1186/1756-0381-3-5 pmid:20875103 pmcid:PMC2955681 fatcat:vgxjjo3usnbp5paaifbjkha2hy
A rtificial neural networks (ANNs) are a class of powerful machine learning models for classification and function approximation which have analogs in nature. ... It is these properties of ANNs which make them appealing for applications to bioinformatics problems where interpretation of data may not always be obvious, and where the domain knowledge required for ... ., and a Cork Institute of Technology Rísam Scholarship to M.T. ...doi:10.4161/bioe.26997 pmid:24335433 pmcid:PMC4049912 fatcat:6yz3o5eijvbwrmagbibox6slci