This course explores soft computation from historical, theoretical, and application viewpoints. Soft computing methods to be considered include evolutionary computation, neural computation, fuzzy set theory, and approximate reasoning.
Gallagher, John C.
core
Editorial: Sleep and cognition: the role of sleep patterns and deprivation in memory and learning
Simone Marie Ota +2 more
doaj +1 more source
A Cooperative Evolutionary System for Designing Neural Networks
A novel cooperative evolutionary system, i.e., CGPNN, for automatic design artificial neural networks (ANN's) is presented where ANN's structure and parameters are tuned simultaneously.
Niu B(牛奔) +4 more
core
Competitive Relative Performance and Fitness Selection for Evolutionary Robotics
Evolutionary Robotics (ER) is a field of research that applies evolutionary computing methods to the automated design and synthesis of behavioral robotics controllers.
Nelson, Andrew Lincoln
core
Self-Concentration Detection Based on Doubled Amplitude/Phase Processing in Node PDE Modular Models. [PDF]
Zjavka L.
europepmc +1 more source
Efficient Automation of Neural Network Design: A Survey on Differentiable Neural Architecture Search
Under review at ACM Computing Surveys. 36 pages, 16 figuresInternational audienceIn the past few years, Differentiable Neural Architecture Search (DNAS) rapidly imposed itself as the trending approach to automate the discovery of deep neural network ...
Tabia, Hedi +3 more
core +1 more source
Interpreting convolutional neural networks in population genetics. [PDF]
Xu H +6 more
europepmc +1 more source
EdgeVolution: democratizing multi-objective neural architecture search and end-to-end deployment on microcontrollers. [PDF]
Groh R +5 more
europepmc +1 more source
EvoGraph: synergizing evolutionary semantics and tail-aware graph contrastive learning for protein-protein interaction prediction. [PDF]
Zhang Y, Zhao Y, Zhou J, Wang H, Wu C.
europepmc +1 more source

