Automatic breast cancer detection based on optimized neural network using whale optimization algorithm

2020 ◽  
Author(s):  
Hong Fang ◽  
Hongyu Fan ◽  
Shan Lin ◽  
Zhang Qing ◽  
Fatima Rashid Sheykhahmad
Keyword(s):  
Breast Cancer ◽  
Neural Network ◽  
Cancer Detection ◽  
Optimization Algorithm ◽  
Breast Cancer Detection ◽  
Whale Optimization Algorithm ◽  
Whale Optimization

scholarly journals An image denoising method based on BP neural network optimized by improved whale optimization algorithm

2021 ◽  
Vol 2021 (1) ◽  
Author(s):  
Chunzhi Wang ◽  
Min Li ◽  
Ruoxi Wang ◽  
Han Yu ◽  
Shuping Wang
Keyword(s):  
Neural Network ◽  
Image Denoising ◽  
Optimization Algorithm ◽  
Bp Neural Network ◽  
Weight Coefficient ◽  
Whale Optimization Algorithm ◽  
Denoising Method ◽  
Training Time ◽  
Whale Optimization ◽  
City Construction

AbstractAs an important part of smart city construction, traffic image denoising has been studied widely. Image denoising technique can enhance the performance of segmentation and recognition model and improve the accuracy of segmentation and recognition results. However, due to the different types of noise and the degree of noise pollution, the traditional image denoising methods generally have some problems, such as blurred edges and details, loss of image information. This paper presents an image denoising method based on BP neural network optimized by improved whale optimization algorithm. Firstly, the nonlinear convergence factor and adaptive weight coefficient are introduced into the algorithm to improve the optimization ability and convergence characteristics of the standard whale optimization algorithm. Then, the improved whale optimization algorithm is used to optimize the initial weight and threshold value of BP neural network to overcome the dependence in the construction process, and shorten the training time of the neural network. Finally, the optimized BP neural network is applied to benchmark image denoising and traffic image denoising. The experimental results show that compared with the traditional denoising methods such as Median filtering, Neighborhood average filtering and Wiener filtering, the proposed method has better performance in peak signal-to-noise ratio.

Backpropagation neural network for processing of missing data in breast cancer detection

IRBM ◽  
2021 ◽  
Author(s):  
L. Zhang ◽  
Hongyan Cui ◽  
Bingqing Liu ◽  
Chao Zhang ◽  
Berthold K.P. Horn
Keyword(s):  
Breast Cancer ◽  
Neural Network ◽  
Missing Data ◽  
Cancer Detection ◽  
Breast Cancer Detection ◽  
Backpropagation Neural Network

scholarly journals An Author Gender Detection Method Using Whale Optimization Algorithm and Artificial Neural Network

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 48428-48437 ◽  
Author(s):  
Fatemeh Safara ◽  
Amin Salih Mohammed ◽  
Moayad Yousif Potrus ◽  
Saqib Ali ◽  
Quan Thanh Tho ◽  
...  
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Optimization Algorithm ◽  
Detection Method ◽  
Whale Optimization Algorithm ◽  
Whale Optimization ◽  
Artificial Neural ◽  
Gender Detection
Sign in / Sign up

Export Citation Format

Share Document