A new approach to building artificial neural networks and medicine

Authors

  • Boris Zlotin Progress, INC. West Bloomfield MI, USA; Omega Server Inc., West Bloomfield MI, USA, United States
  • Vladimir Proseanic Progress, INC. West Bloomfield MI, USA; Omega Server Inc., West Bloomfield MI, USA, United States
  • Boris Farber TRIZ Biopharma international LLC, New York, NY, USA, United States
  • Anatoly Guin Progress, INC. West Bloomfield MI, USA; Omega Server Inc., West Bloomfield MI, USA, United States
  • Ivan Nehrishnyi Sr Progress, INC. West Bloomfield MI, USA; Omega Server Inc., West Bloomfield MI, USA, United States
  • Ivan Nehrishnyi Jr Progress, INC. West Bloomfield MI, USA; Omega Server Inc., West Bloomfield MI, USA, United States
  • Vladimir Matsenko Omega Server Inc., West Bloomfield MI, USA, United States
  • Anton Belyakov Omega Server Inc., West Bloomfield MI, USA, United States
  • Gafur Zainiev Progress, INC. West Bloomfield MI, USA, United States

Abstract

Numerous attempts to use neural networks in medicine remain unsuccessful to this day because of an old mistake in the development of neural networks. In 1954, Frank Rosenblatt, created the first artificial neural network - the perceptron based on an understanding of the operation of brain neurons. This was a brilliant achievement; however, lack of knowledge at the time on how biological neurons worked led to systematic errors in the perceptron design and methods of training.  These errors have been repeatedly propagated in most artificial neural networks (ANN). The article describes the conceptual design of a brand-new type of perceptron named PANN (Progressive Artificial Neural Network), free from systematic errors of classical ANN and therefore with various unique properties. The article also provides data of the PANN network testing and a link that allows direct testing of the proposed neural network.

DOI: 10.5281/zenodo.5767079

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Published

2021-12-09

How to Cite

Zlotin, B. ., Proseanic, V., Farber, B. ., Guin, A. ., Nehrishnyi Sr, I. ., Nehrishnyi Jr, I., Matsenko, V. ., Belyakov, A. ., & Zainiev, G. (2021). A new approach to building artificial neural networks and medicine. Annals of Mechnikov’s Institute, (4), 101–107. Retrieved from http://journals.uran.ua/ami/article/view/246530

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Articles