Neural Network and Interaction Communication
نویسندگان
چکیده
منابع مشابه
scour modeling piles of kambuzia industrial city bridge using hec-ras and artificial neural network
today, scouring is one of the important topics in the river and coastal engineering so that the most destruction in the bridges is occurred due to this phenomenon. whereas the bridges are assumed as the most important connecting structures in the communications roads in the country and their importance is doubled while floodwater, thus exact design and maintenance thereof is very crucial. f...
Intelligent Communication Networks and Neural Network
The term network intelligence is widely used in the field of communication security network. Many intelligent systems focus on a specific service, function, or device, and do not provide true end-to-end service network intelligence. True network intelligence requires more than a set of disconnected elements, it requires an interconnecting and functionally coupled architecture that enables the v...
متن کامل4. Communication within a Neural Network
Recent observations of complex sequences of neuronal activity, at the level of both synaptic transmission and action potential generation amongst simultaneously sampled multiple neurons, have demonstrated that such patterns can occur spontaneously in the brain. Using multielectrode array (MEA) technology we have sampled simultaneously from a large number of neurons (typically >100 neurons), acr...
متن کاملEstimation of Reference Evapotranspiration Using Artificial Neural Network Models and the Hybrid Wavelet Neural Network
Estimation of evapotranspiration is essential for planning, designing and managing irrigation and drainage schemes, as well as water resources management. In this research, artificial neural networks, neural network wavelet model, multivariate regression and Hargreaves' empirical method were used to estimate reference evapotranspiration in order to determine the best model in terms of efficienc...
متن کاملAdaptive Neural Network Control by Adaptive Interaction
In this paper, we propose an approach to adaptive neural network control by using a new adaptation algorithm. The algorithm is derived from the theory of adaptive interaction. The principle behind the adaptation algorithm is a simple but efficient methodology to perform gradient descent optimization in the parametric space. Unlike the approach based on the back-propagation algorithm, this appro...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of the Robotics Society of Japan
سال: 2017
ISSN: 0289-1824,1884-7145
DOI: 10.7210/jrsj.35.195