A simple artificial neural network (ANN) model is developed for the determination of non-leaky confined aquifer parameters by normalizing and applying the principal component analysis (PCA) on adopted training data pattern from Lin and Chen [Lin, G.F., Chen, G.R., 2006. An improved neural ...
first presenting a low-level description based on the notion of a neural network (bottom-up framework). In this work, we propose an artificial neuron model in the Fuzzy Logic paradigm, showing that fuzzy behaviour is potentially capable of triggering the phenomenon of deterministic chaos. ...
Dynamical dimension (N) Number of variables (sites, people, etc.) Or number of required initial conditions Reduces the problem to a single trajectory in N-dimensional space May be infinite for continuous space A Physicist’s Neuron A General Model (artificial neural network) Route to Chaos at ...
to create a computer model of the circuit so that it could be explored more thoroughly. As they worked with three-neuron microcircuit they realized it was very like one students in Wessel's neurophysiology lab were studying.
Neural networks letter: To spike or not to spike: A probabilistic spiking neuron model Spiking neural networks (SNN) are promising artificial neural network (ANN) models as they utilise information representation as trains of spikes, that add... N Kasabov - Pergamon 被引量: 143发表: 2010年 ...
A simple electronic circuit is proposed as an analog of the excitable membrane. It is based on the Hodgkin-Huxley model and their squid axon voltage clamp data. The simulated potassium and sodium conductances are reproduced satisfactorily and the electronic action potentials are very similar to the...
Power systemLoad forecastingNeural NetworkNeuronStabilizationNetwork structureLoadIn this paper, the modelling and design of artificial neural network architecture ... AJ Mehta,HA Mehta,TC Manjunath,... - 《International Journal of Applied Mathematics & Computer Sciences》 被引量: 2发表: 2008年 Neuropr...
We propose a new concept of spiking silicon neuron that is composed of only digital circuit technology. The system equations were designed by a mathematical-model-based design method that we proposed for analog silicon neurons in previous works. This......
Simple modelStriatal medium spiny neurons (MSNs) constitute input nuclei of the basal ganglia. Most well-known dichotomous of striatal MSNs stem from dopaminergic modulation of striatal processing. Dopamine moduldoi:10.1007/978-3-319-44778-0_30Sami Utku Çelikok...
In this article section, we will build a simple artificial neural network model using the PyTorch library. Check out this DataCamp workspace to follow along with the code PyTorch is one of the most popular libraries for deep learning. It provides a much more direct debugging experience than Tens...