The CGO risk prediction process based on data augmentation and neuroevolution.

The CGO risk prediction process based on data augmentation and neuroevolution.

<p>The CGO risk prediction process based on data augmentation and neuroevolution.</p>

محفوظ في:
التفاصيل البيبلوغرافية
المؤلف الرئيسي: Wenbing Shi (5806160) (author)
مؤلفون آخرون: Ji Huang (295410) (author), Gaoming Yang (7464977) (author), Shuzhi Su (20760086) (author), Shexiang Jiang (20760089) (author)
منشور في: 2025
الموضوعات:
Genetics
Biological Sciences not elsewhere classified
Mathematical Sciences not elsewhere classified
Information Systems not elsewhere classified
transfer function using
pointwise intensity transformation
lightweight network architecture
constructing smart mines
complicated natural disaster
initial genome code
evolutionary neural network
div >< p
imbalanced data samples
neuroevolution </ p
neuroevolution algorithm
genome mutation
evolutionary generations
augmented samples
rmse </
mae </
evar </
test set
species differentiation
sample features
results show
precision mapping
population initialization
paper proposes
outburst risk
optimal phenotype
multiple aspects
method comparisons
insufficient diversity
gas outburst
fitness evaluation
feature parameters
data augmentation
الوسوم: إضافة وسم
لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!

مواد مشابهة

مواد مشابهة