An optimizing BP neural network algorithm based on genetic algorithm

By Shifei Ding, Chunyang Su, Junzhao Yu. Artificial Intelligence Review, 2011

748 citations recorded by the source corpus.

Subfields: Control and Systems Engineering

View Paper: https://www.semanticscholar.org/paper/1b915058202230f60d5bfbfdd0fb0390543a989e

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Han Zhao
2. Yanan Zhang
3. Xinzheng Xu
4. Ru Nie
5. Shifei Ding
6. Yongquan Yang
7. Weiwei Liu

Citations in the corpus

• Extreme learning machine: algorithm, theory and applications (2013, positive): “Coupled with its solid theoretical basis and simple network structuremodelmake the neural network in the fields of pattern recognition, image processing, sensors, signal processing and automatic control have significant results (Ding et al. 2011a,b, 2012;Quteishat andLim2008;Zhang and Wang 2009; Din”
• Optimizing connection weights in neural networks using the whale optimization algorithm (2016, neutral): “Other works on applying GA to train MLP networks can be found in Whitley et al. (1990), Ding et al. (2011), Sexton et al. (1998), and Randall (2000).”
• Recent Advances in Convolutional Neural Network Acceleration (2018, neutral): “the weights of a back-propagation neural network by encoding and thresholding the connection weights [99].”