نتایج جستجو برای: artificial neuronal network

تعداد نتایج: 981848  

Accurate simulation runoff process can have a significant role in water resources management and related issues. The inherent complexity of  this process makes difficult the use of physical and numerical models. In recent years, application of intelligent models is increased a powerful tool in hydrological modeling. The aim of this study was the application of the Gamma test to select the optim...

Journal: :Journal of the Japan Society for Precision Engineering 2006

2004
Alan N. Hampton Chris Adami

We present the first evolved solutions to a computational task within the Neuronal Organism Evolution model (Norgev) of artificial neural network development. These networks display a remarkable robustness to external noise sources, and can regrow to functionality when severely damaged. In this framework, we evolved a doubling of network functionality (double-NAND circuit). The network structur...

Journal: :Neuropsychologia 2014
Friedemann Pulvermüller Rachel L. Moseley Natalia Egorova Zubaida Shebani Véronique Boulenger

A new perspective on cognition views cortical cell assemblies linking together knowledge about actions and perceptions not only as the vehicles of integrated action and perception processing but, furthermore, as a brain basis for a wide range of higher cortical functions, including attention, meaning and concepts, sequences, goals and intentions, and even communicative social interaction. This ...

Journal: :Trends in neurosciences 2004
Astrid A Prinz L F Abbott Eve Marder

The dynamic clamp uses computer simulation to introduce artificial membrane or synaptic conductances into biological neurons and to create hybrid circuits of real and model neurons. In the ten years since it was first developed, the dynamic clamp has become a widely used tool for the study of neural systems at the cellular and circuit levels. This review describes recent state-of-the-art implem...

Journal: :Science 1993
A P Georgopoulos M Taira A Lukashin

A major challenge of current neuroscience is to elucidate the brain mechanisms that underlie cognitive function. There is no doubt that cognitive processing in the brain engages large populations of cells. This article explores the logic of investigating these problems by combining psychological studies in human subjects and neurophysiological studies of neuronal populations in the motor cortex...

Journal: :international journal of environmental research 2015
s. yildiz m. degirmenci

in general, amount of sludge will definitely increase in near future and composting processes, optimum composting conditions and compost use as fertilizer and soil amendment will then be significant research topics. the present study was conducted for o2 parameter estimation by multiple regression and artificial neural networks methods. daily temperature, ch4, h2s, co2 and o2 measurements were ...

Journal: :Scientific Programming 2022

Intelligence is gradually becoming an important tool for solving difficult problems with the development of computers. This article takes design university teaching systems as research context to establish artificial intelligence network and learning platform. A probabilistic process neuron model proposed, which combines Bayesian classification mechanism dynamic signal processing method network...

This paper uses nonlinear regression, Artificial Neural Network (ANN) and Genetic Programming (GP) approaches for predicting an important tangible issue i.e. scours dimensions downstream of inverted siphon structures. Dimensional analysis and nonlinear regression-based equations was proposed for estimation of maximum scour depth, location of the scour hole, location and height of the dune downs...

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