Neural electrical activity and neural network growth influence on growth in
neural networks. In this work we propose a general framework for a theoretical
Solving the problem of sentiment analysis using neural network models of sentiment analysis based on
neural network models of natural language processing. The methods are based
A classification of meteor radio echoes based on artificial neural network categories. The
neural network was trained and on
model data obtained using the "KAMET" program and tested
Emergence of the small-world architecture in neural networks by activity dependent growth and development of
neural networks based on the latest achievements of experimental neuroscience. The
model Neural network method of dynamic biometrics for detecting the substitution of computer is described. The
neural network model construction use “Deductor” environment. The method of informative
A renaissance of neural networks in drug discovery© 2016 Informa UK Limited, trading as Taylor & Francis Group.Introduction:
Neural networks ON DEEP LEARNING for OPTION PRICING in LOCAL VOLATILITY MODELS of the
neural network and the algorithm of its training for option pricing in local volatility
models