The fitness of ANEAT model evolution.

The fitness of ANEAT model evolution.

<div><p>Coal and gas outburst (CGO) is a complicated natural disaster in underground coal mine production. In constructing smart mines, predicting CGO risks efficiently and accurately is necessary. This paper proposes a CGO risk prediction method based on data augmentation and a neuroevo...

Full description

Saved in:
Bibliographic Details
Main Author: Wenbing Shi (5806160) (author)
Other Authors: Ji Huang (295410) (author), Gaoming Yang (7464977) (author), Shuzhi Su (20760086) (author), Shexiang Jiang (20760089) (author)
Published: 2025
Subjects:
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
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items