Artificial Neural Networks

From Santa Fe Institute Events Wiki


Willing to offer an introduction to ANNs if anyone is interested! Mollie Poynton

Just add your name below...


  • Yes, I'd love it. Vikas
  • very interested. --jd
  • same here. Amir
  • I would like to attend. Saleha
  • I would do anything to learn how to build an attractor neural network. -Mike

Hey - that's an interesting statement :) Unfortunately, I can't help with attractor neural nets. - MP

  • Count me in. --James
  • interested - Nate
  • Ya i would like to know also. --> Natasha
  • I will be there--rhonda
  • I will also attend--Spyro

References and Resources

  1. McCulloch, W. & Pitts, W. A logical calculus of the ideas imminent in nervous activity. Bulletin of Mathematical Biophysics. 1943, 5:115-133.
  2. Poynton MR, McDaniel AM. Classification of smoking cessation status with a backpropagation neural network. J Biomed Inform. Mar 24 2006.
  3. Poynton M. Classification of smoking cessation status with machine learning methods. Bloomington, IN: Graduate School, Indiana University; 2005.
  4. Goodwin LK, Iannacchione MA, Hammond WE, Crockett P, Maher S, Schlitz K. Data mining methods find demographic predictors of preterm birth. Nurs Res. Nov-Dec 2001;50(6):340-345.
  5. Aronsky D, Chan KJ, Haug PJ. Evaluation of a computerized diagnostic decision support system for patients with pneumonia: study design considerations. J Am Med Inform Assoc. Sep-Oct 2001;8(5):473-485.
  6. Aronsky D, Fiszman M, Chapman WW, Haug PJ. Combining decision support methodologies to diagnose pneumonia. Proc AMIA Symp. 2001:12-16.
  7. Lagor C, Aronsky D, Fiszman M, Haug PJ. Automatic identification of patients eligible for a pneumonia guideline: comparing the diagnostic accuracy of two decision support models. Medinfo. 2001;10(Pt 1):493-497.
  8. Quaranta V, Weaver AM, Cummings PT, Anderson AR. Mathematical modeling of cancer: the future of prognosis and treatment. Clin Chim Acta. Jul 24 2005;357(2):173-179.
  9. Baxt WG, Shofer, FS, Sites, FD, Hollander, JE. A neural network aid for the early diagnosis of cardiac ischemia in patients presenting to the emergency department with chest pain. Ann Emerg Med. 2002 Dec;40(6):575-83.
  10. Baxt WG, Skora J. Prospective validation of artificial neural network trained to identify acute myocardial infarction. Lancet. 1996 Jan 6;347(8993):12-5.

Excellent web site for learning about ROC analysis!

D.E.Rumelhart, G.E.Hinton and R.J.Williams "Learning internal representa-tions by error propagation." In David E. Rumelhart and James A. McClelland, volume 1. The MIT Press, 1986.

Bishop's book on Artificial Neural Networks




SAS Enterprise Miner, Statistica Data Miner, Matlab, all implement neural networks of some kind...

Academic pricing available for Neuralware software