Soft Computing Techniques for Analysis of Large Data Sets @ National Institute of Technology Andhra Pradesh


Participants Information

Participants: 41
Speakers:08
Female participants:16
Male participants:25
Participants from SC/ST category:05
Research Scholars:01

Lab Sessions

  • Multi Layer Feed Forward Network and Back Propagation
  • Ant Colony Optimization, Genetic Algorithm
  • Deep Learning RNN using Tensor Flow
  • Artificial Bee Colony, Particle Swarm Optimization

Topics Covered

  • Introduction to Soft Computing
  • Unsupervised Soft Computing Techniques
  • Evolutionary Algorithms
  • Rough Sets
  • Differential Evolution, Invasive Weed Optimization
  • Latent Factor Models
  • Learning with high Dimensional Data
  • Artificial Neural Networks
  • Deep Learning
  • Support Vector Machines

Highlights

List of Speakers

Prof. C. Raghavendra Rao, Professor, Central University Hyderabad

Dr. Suryakanth V Gangashetty, Assistant Professor, IIIT Hyderabad

Dr. S. Karthick, Assistant Professor, NIT Andhra Pradesh

Dr. Sankar Peddapati, Assistant Professor, NIT Andhra Pradesh

Dr. Kiran Kumar Gurrala,Assistant Professor, NIT Andhra Pradesh

Dr. K. Himabindu, Assistant Professor, NIT Andhra Pradesh

Dr. Nagesh Bhattu Sristry, Assistant Professor, NIT Andhra Pradesh

Dr. Srilatha Chebrolu, Assistant Professor, NIT Andhra Pradesh




Feedback Summary

  • FDP was very informative, useful and research oriented.

  • Organization of the FDP was good.

    • Suggestions from Participants

  • More lab sessions on Netsim should be included.