Connection

Ganesh Venayagamoorthy to Algorithms

This is a "connection" page, showing publications Ganesh Venayagamoorthy has written about Algorithms.
Connection Strength

0.847
  1. Quantum inspired PSO for the optimization of simultaneous recurrent neural networks as MIMO learning systems. Neural Netw. 2010 Jun; 23(5):583-6.
    View in: PubMed
    Score: 0.220
  2. Evolving digital circuits using hybrid particle swarm optimization and differential evolution. Int J Neural Syst. 2006 Jun; 16(3):163-77.
    View in: PubMed
    Score: 0.171
  3. Cellular computational generalized neuron network for frequency situational intelligence in a multi-machine power system. Neural Netw. 2017 Sep; 93:21-35.
    View in: PubMed
    Score: 0.091
  4. Cellular computational networks--a scalable architecture for learning the dynamics of large networked systems. Neural Netw. 2014 Feb; 50:120-3.
    View in: PubMed
    Score: 0.072
  5. Decentralized asynchronous learning in cellular neural networks. IEEE Trans Neural Netw Learn Syst. 2012 Nov; 23(11):1755-66.
    View in: PubMed
    Score: 0.067
  6. Adaptive critics for dynamic optimization. Neural Netw. 2010 Jun; 23(5):587-91.
    View in: PubMed
    Score: 0.056
  7. Evolutionary swarm neural network game engine for Capture Go. Neural Netw. 2010 Mar; 23(2):295-305.
    View in: PubMed
    Score: 0.055
  8. Generalized neuron: feedforward and recurrent architectures. Neural Netw. 2009 Sep; 22(7):1011-7.
    View in: PubMed
    Score: 0.053
  9. Comparison of adaptive critic-based and classical wide-area controllers for power systems. IEEE Trans Syst Man Cybern B Cybern. 2008 Aug; 38(4):1002-7.
    View in: PubMed
    Score: 0.050
  10. Comparison of a spiking neural network and an MLP for robust identification of generator dynamics in a multimachine power system. Neural Netw. 2009 Jul-Aug; 22(5-6):833-41.
    View in: PubMed
    Score: 0.013
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.