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Data from: Neural modularity helps organisms evolve to learn new skills without forgetting old
- 负责人：
- DOI：
- doi:10.5061/dryad.s38n5
- 摘要：
- . In the artificial intelligence subfield of neural networks, a barrier to that goal is that when agents learn a new skill they typically do so by losing previously acquired skills
Improved system identification using artificial neural networks and analysis of individual differences in responses of an identified neuron.
- 负责人：
- 关键词：
- Faculty of Engineering and the Environment > Institute of Sound and Vibration Research > Signal Processing & Control Research Group Faculty of Natural and Environmental Sciences > Biological Sciences Q Science > QH Natural history > QH301 Biology
- DOI：
- doi:10.5258/soton/385038
- 摘要：
- We analyse the effectiveness of Artificial Neural Networks (ANNs) as a modelling tool for motor neuron responses. We used ANNs to model the synaptic
Data from: The evolutionary origins of hierarchy
- 负责人：
- DOI：
- doi:10.5061/dryad.60hp6
- 摘要：
- o evolving more complex, intelligent computational brains in the fields of artificial intelligence and robotics.
Data from: Compressor map regression modelling based on partial least squares
- 负责人：
- DOI：
- doi:10.5061/dryad.3g0p68m
- 摘要：
- and artificial neural network. PLSO and PLSN are also compared to each other. The results show that PLSO and PLSN have a better prediction performance than the look-up table
ndom Forest and artificial Neural Network
- 负责人：
- 关键词：
- DOI：
- doi:10.5061/dryad.qn7d3
- 摘要：
- ndom Forest- and artificial Neural Networks-algorithms. These models were trained with a recently established dataset specific for acute hepatotoxicity in humans. Using this dataset, a set
Data from: Upload any object and evolve it: injecting complex geometric patterns into CPPNs for further evolution
- 负责人：
- DOI：
- doi:10.5061/dryad.4qk42
- 摘要：
- artificial intelligence and the evolvability benefits of generative encodings.
Data from: Probability matching in perceptrons: effects of conditional dependence and linear nonseparability
- 负责人：
- DOI：
- doi:10.5061/dryad.34pb0
- 摘要：
- , when artificial neural networks match probability, the activity in their output unit equals the past probability of reward in the presence of a stimulus. Our previous resear
Non-animal methods to predict skin sensitization (II): an assessment of defined approaches**<\/sup>
- 负责人：
- 关键词：
- Genetics Physiology Biotechnology 59999 Environmental Sciences not elsewhere classified Immunology 69999 Biological Sciences not elsewhere classified 80699 Information Systems not elsewhere classified Science Policy
- DOI：
- doi:10.6084/m9.figshare.5933323.v2
- 摘要：
- tegies, for both hazard and potency characterization. Defined approaches examined included consensus methods, artificial neural networks, support vector machine
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