Complex Valued Recurrent Neural Network: From Architecture to Training

Article Properties
Cite
Minin, Alexey, et al. “Complex Valued Recurrent Neural Network: From Architecture to Training”. Journal of Signal and Information Processing, vol. 03, no. 02, 2012, pp. 192-7, https://doi.org/10.4236/jsip.2012.32026.
Minin, A., Knoll, A., & Zimmermann, H.-G. (2012). Complex Valued Recurrent Neural Network: From Architecture to Training. Journal of Signal and Information Processing, 03(02), 192-197. https://doi.org/10.4236/jsip.2012.32026
Minin A, Knoll A, Zimmermann HG. Complex Valued Recurrent Neural Network: From Architecture to Training. Journal of Signal and Information Processing. 2012;03(02):192-7.
Refrences
Title Journal Journal Categories Citations Publication Date
10.1007/978-1-4612-0939-3
10.1007/978-1-4612-0939-3
10.1007/978-1-4612-0939-3
10.1007/978-1-4612-0939-3
10.1007/978-1-4612-0939-3
Citations
Title Journal Journal Categories Citations Publication Date
Research on Methodology of Correlation Analysis of Sci-Tech Literature Based on Deep Learning Technology in the Big Data

 Journal of Database Management
  • Science: Science (General): Cybernetics: Information theory
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science: Computer software
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science: Computer software
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics: Computer engineering. Computer hardware
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
 4 2018
Improper Complex-Valued Bhattacharyya Distance IEEE Transactions on Neural Networks and Learning Systems
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics: Computer engineering. Computer hardware
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks
  • Technology: Mechanical engineering and machinery
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
 2016
Citations Analysis
Category Category Repetition
Science: Mathematics: Instruments and machines: Electronic computers. Computer science2
Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics: Computer engineering. Computer hardware2
Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks1
Technology: Mechanical engineering and machinery1
Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics1
Science: Science (General): Cybernetics: Information theory1
Science: Mathematics: Instruments and machines: Electronic computers. Computer science: Computer software1
The category Science: Mathematics: Instruments and machines: Electronic computers. Computer science 2 is the most commonly referenced area in studies that cite this article.