However, the prediction of this approach is inaccurate as evident in the literature. Therefore, this study proposed an artificial neural network model for the prediction of blasting operations in five granite quarries in Ibadan, Oyo State, Nigeria. The distance from the measuring station to the ...
The artificial intelligence of urban dynamics: Neural network modeling of urban structure A neural network, parallel distributed processing model of learning is adapted to represent the self-organizing urban system. The model is trained on a number of cases representing specific functional states of ...
Theory - Chauvet - 2002 () Citation Context ...n is defined as a mathematical entity and neural network consists of an interconnected set of these entities. The neuron functions based on synaptic modification according to specific law of learning =-=[7]-=-. In contrast to artificial neural ...
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.
In this Chapter a mathematical background for computing artificial neural network models and solving optimization problems is given and four neuron models are introduced to show computational mathematics. Although it is still widely believed that the decay term in the motion equation is absolutely essent...
To examine artificial extension of the cortex-receptor system, I propose a computational model that allows new types of sensory pathways to be added directly to the computational model itself in an online manner. A synapse expandable artificial neuron model that can grow new synapses, forming a ...
(cell proliferation, differentiation, migration), all in response to the level of biochemical cues such as oxygen concentration, are mathematically formulated. This leads to a mechanistic model with a high number of parameters. Then, an extensive analysis of these parameters is made, both, from ...
In this study, these performances were computed by use of an artificial neural networks technique by applying the parameters of this model and the physical properties of the membrane. A back-propagation feed-forward network with three layers including 9 neurons in the first layer and one neuron ...
The following model of long-range connections was introduced by Bressloff [12]: [Math Processing Error] (8) whereHis the Heaviside step function and[Math Processing Error]is some constant. It differs mainlyFootnote5by the first factor, which enforces homogeneity of the connections. It is not ...
期刊名称:《Journal of mathematical fluid mechanics》 | 2005年第Suppla2期 关键词: action potential; neuron; propagation; EQUATIONS; 32.Nonlinear Acoustics: Blackstock-Crighton Equations with a Periodic Forcing Term 机译:非线性声学:具有周期性强制术语的Blackstock-Crighton方程 作者:Celik Aday;Kyed...