However, the DNN model does not provide any explanation about how it derives the steering angle. The DNN model parameters are the steering angle generation algorithm in terms of hidden units and their associated parameters. Therefore, input-output relations cannot be described using the DNN structure...
The evolutionary processes shaping the structure of bacterial populations have been deeply investigated and several speciation models have been proposed1,2,3. These models revolve mainly around the two most important mechanisms of genetic variation: mutation and recombination. In 2001, Cohan proposed the...
If the image is roughly acceptable, another algorithm tests the level of detail, typically by counting the number of ridges and making sure there are alternate light and dark areas (as you'd expect to find in a decent fingerprint image). If the image fails this test, we go back to step...
Copy-number-variable (CNV) loci are an important cause of genetic variation in human genomes, and give rise to differences of 4.8–9.5% in the overall length of human genomes10,11. However population genetic divergence at the genome-wide CNV loci has not been investigated in detail12,13, ...
(up to approximately 50 kHz). These clicks have been identified sporadically in earlier research ofFoxp2mutant mouse pups20but have not been investigated in detail. To detect these clicks we performed high-pass and low-pass filtering of the recordings at 5 kHz and 30 kHz, respectively. We ...
Researchers from Victoria University Wellington Detail New Studies and Findings in the Area of Artificial Intelligence (Explainable Artificial Intelligence By Genetic Programming: a Survey)WellingtonNew ZealandAustralia and New ZealandArtificial Intelligence...
[~,~,rule] = getTunableSettings(fisTin); Then, specify that the antecedent membership functions are fixed during the tuning process. Get for ct = 1:length(rule) rule(ct).Antecedent.Free = 0; end Create an option set for tuning. Use the default genetic algorithm (ga) tuning method. ...
[~,~,rule] = getTunableSettings(fisTin); Then, specify that the antecedent membership functions are fixed during the tuning process. Get for ct = 1:length(rule) rule(ct).Antecedent.Free = 0; end Create an option set for tuning. Use the default genetic algorithm (ga) tuning method. ...