AIMC Topic: Biological Evolution

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A novel belief rule base expert system with interval-valued references.

Scientific reports Apr 26, 2022
As an essential parameter in the belief rule base (BRB), referential values refer to evaluation criteria for describing attributes using quantitative data or linguistic terms, the rationality and preciseness of which are important to the modeling acc...
Expert Systems Uncertainty Algorithms Biological Evolution
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Machine learning in evolutionary studies comes of age.

Proceedings of the National Academy of Sciences of the United States of America Apr 19, 2022
Algorithms Biological Evolution Machine Learning
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Medical Image Captioning Using Optimized Deep Learning Model.

Computational intelligence and neuroscience Mar 9, 2022
Medical image captioning provides the visual information of medical images in the form of natural language. It requires an efficient approach to understand and evaluate the similarity between visual and textual elements and to generate a sequence of ...
Deep Learning Benchmarking Biological Evolution Algorithms Language
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Discovering Parametric Activation Functions.

Neural networks : the official journal of the International Neural Network Society Jan 7, 2022
Recent studies have shown that the choice of activation function can significantly affect the performance of deep learning networks. However, the benefits of novel activation functions have been inconsistent and task dependent, and therefore the rect...
Biological Evolution Neural Networks, Computer
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The automatic parameter-exploration with a machine-learning-like approach: Powering the evolutionary modeling on the origin of life.

PLoS computational biology Dec 29, 2021
The origin of life involved complicated evolutionary processes. Computer modeling is a promising way to reveal relevant mechanisms. However, due to the limitation of our knowledge on prebiotic chemistry, it is usually difficult to justify parameter-s...
Machine Learning Algorithms Models, Biological Biological Evolution Computer Simulation Computational Biology Origin of Life
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Comprehensive Evaluation of Tourism Resources Based on Multispecies Evolutionary Genetic Algorithm-Enabled Neural Networks.

Computational intelligence and neuroscience Dec 14, 2021
With the development of neural network technology and the rapid growth of China's tourism economic income at this stage, the research on the comprehensive evaluation of tourism resources has gradually emerged. Based on this, this paper studies the ne...
China Tourism Biological Evolution Algorithms Technology Neural Networks, Computer
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Coalescent-based species delimitation meets deep learning: Insights from a highly fragmented cactus system.

Molecular ecology resources Oct 31, 2021
Delimiting species boundaries is a major goal in evolutionary biology. An increasing volume of literature has focused on the challenges of investigating cryptic diversity within complex evolutionary scenarios of speciation, including gene flow and de...
Phylogeny Gene Flow Deep Learning Cactaceae Bayes Theorem Biological Evolution Species Specificity
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HARNAS: Human Activity Recognition Based on Automatic Neural Architecture Search Using Evolutionary Algorithms.

Sensors (Basel, Switzerland) Oct 19, 2021
Human activity recognition (HAR) based on wearable sensors is a promising research direction. The resources of handheld terminals and wearable devices limit the performance of recognition and require lightweight architectures. With the development of...
Humans Neural Networks, Computer Algorithms Human Activities Biological Evolution Wearable Electronic Devices
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Simulation and Prediction of Fungal Community Evolution Based on RBF Neural Network.

Computational and mathematical methods in medicine Oct 8, 2021
Simulation and prediction of the scale change of fungal community. First, using the experimental data of a variety of fungal decomposition activities, a mathematical model of the decomposition rate and the relationship between the bacterial species w...
Mycobiome Computational Biology Biological Evolution Models, Biological Symbiosis Bacterial Physiological Phenomena Ecosystem Linear Models Neural Networks, Computer Microbial Interactions Biodiversity Seasons
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Embodied intelligence via learning and evolution.

Nature communications Oct 6, 2021
The intertwined processes of learning and evolution in complex environmental niches have resulted in a remarkable diversity of morphological forms. Moreover, many aspects of animal intelligence are deeply embodied in these evolved morphologies. Howev...
Biological Evolution Computer Simulation Animals Deep Learning Reward
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