XEMMING NEYRON TO'RI VA UNING ARXITEKTURASI
Keywords:
Xemming neyron to'ri, Hamming masofasi, neyron tarmoqlar, sun'iy intellekt, mashinani o'rganish, ma'lumotlarni tasniflash, qayta tiklash, xotira banki, tasvirni tanish, nutqni qayta ishlash, ma'lumotlar tahlili, xatolarni aniqlash, xatolarni tuzatish, arxitektura, samaradorlik.Abstract
Ushbu maqola Xemming neyron to'ri (Hamming Neural Network) va uning arxitekturasi haqida batafsil ma'lumot beradi. Xemming neyron to'ri, asosan, ma'lumotlarni tasniflash va qayta tiklash uchun mo'ljallangan model bo'lib, Hamming masofasi yordamida ishlaydi. Maqolada ushbu neyron to'rining tuzilishi, ishlash prinsipi va asosiy elementlari, shuningdek, amaliy misollar va qo'llanilish sohalari ko'rib chiqiladi. Xemming neyron to'rining xotira va qayta tiklash jarayonlaridagi samaradorligi, uning oddiy va samarali arxitekturasi va yuqori aniqligi, bu texnologiyaning sun'iy intellekt va mashinani o'rganish sohalaridagi ahamiyatini ko'rsatadi. Maqolada, shuningdek, Xemming neyron to'rining kelajakdagi rivojlanish imkoniyatlari va yangi innovatsion yechimlar uchun takomillashtirish yo'llari ham muhokama qilinadi.
References
Hamming, R. W. (1950). "Error Detecting and Error Correcting Codes". Bell System Technical Journal.
Kohonen, T. (1988). "An Introduction to Neural Computing". Neural Networks.
Bishop, C. M. (1995). "Neural Networks for Pattern Recognition". Oxford University Press.
Haykin, S. (1999). "Neural Networks: A Comprehensive Foundation". Prentice Hall.
McCulloch, W. S., Pitts, W. (1943). "A logical calculus of the ideas immanent in nervous activity". Bulletin of Mathematical Biophysics.
Rosenblatt, F. (1958). "The Perceptron: A Probabilistic Model for Information Storage and Organization in the Brain". Psychological Review.
Minsky, M., Papert, S. (1969). "Perceptrons: An Introduction to Computational Geometry". MIT Press.
Rumelhart, D. E., Hinton, G. E., Williams, R. J. (1986). "Learning representations by back-propagating errors". Nature.
Rojas, R. (1996). "Neural Networks: A Systematic Introduction". Springer-Verlag.
Duda, R. O., Hart, P. E., Stork, D. G. (2001). "Pattern Classification". Wiley-Interscience.
Lippmann, R. P. (1987). "An Introduction to Computing with Neural Nets". IEEE ASSP Magazine.
Hopfield, J. J. (1982). "Neural networks and physical systems with emergent collective computational abilities". Proceedings of the National Academy of Sciences.
Widrow, B., Hoff, M. E. (1960). "Adaptive Switching Circuits". IRE WESCON Convention Record.
Werbos, P. J. (1974). "Beyond Regression: New Tools for Prediction and Analysis in the Behavioral Sciences". Ph.D. dissertation, Harvard University.
Hecht-Nielsen, R. (1990). "Neurocomputing". Addison-Wesley.
