Лекция: Укажем в конце библиографии основные публикации автора настоящего обзора.

[1] Скурихин, А.Н., «Нейронные сети: определения, концепции,

применение», ФЭИ-0246, М-.ЦЕИИятоминформ, 53с., 1991.

[2] Skurikhin, A.N., «Neural networks in J», Proc. of the Intern, flonf. on KPL, APL Quote Quad, Vol.23, No.I, pp.216-220, St. Petersburg, Russia, July 1992.

[3] Skurikhin, A.N., Surkan, A.J., «Identification of parallelism in neural networks by simulation with language J», Proc. of the Intern. Cohf. on KPL, APL Quote Quad, Vol.24, No.I, pp.230-237, Toronto, Canada, August 1993.

[4] Скурихин, А.Н., Замиусский, В.Н., Богомолов, В.Н., «Нейросети: применение в диагностике», ФЭИ-0266, М: ЦаИИятоминформ, 23с., 1994.

[5] Surkan, A.J., Skurikhin, A.N., «Memory neural networks applied to the prediction of daily energy usage», Proc. of the World Congress on Neural Networks, San Diego, USA, Vol. 2, pp. 254-259, Publisher: Lawrence Eribaum Associates, Hilisdale. 1994.

[6] Skurikhin, A.N., Surkan, A.J., «Alopex network algorithm applied to predict gas usage», Proc. of the 11th European Conference on Artificial Intelligence, ECAI-94, pp. 241-245, Amsterdam, The Netherlands, 'Publisher: John Wiley & Sons. 1994.

[7] Skurikhin, A.N., Surkan, A.J., «A parallel correlation-based algorithm In J learns neural network connections», Proc. of the Intern. Conf. on APL, APL Quote Quad, Vol. 2 5, No. I, pp.194-199, Antwerpen, Belgium, September 1994.

[8] Skurikhin, A.N., Surkan, A.J., «Neural network training compared for Jaackprop, quickprop and cascor in energy control problems», Proc. of the Intern. Conf. oh Genetic