A MATHEMATICAL MODEL OF NEURAL NETWORK EXPLAINING HYPERACUITY IN THE HUMAN VISUAL SYSTEM人类视觉系统超视锐度现象的神经网络数学模型研究体视视锐度视觉超视Stereoscopic hyperacuity is the ability of human visual system to detect finer difference in depth than the optical resolution. Under some special ...
A hypothetical mechanism of the neural network in the cortex is presented which produces the learning ability from the plasticities. Single neurons' behavior and the synaptic plasticities are formulated according to physiological data. Based on the formulations, a computational model of the cerebral ...
Mathematical model of the interaction between neurons-then you have the neural network model 翻译结果4复制译文编辑译文朗读译文返回顶部 Interaction between the neurons in the relationship between mathematical models of neural network models can be obtained ...
It is often regarded as a mystery by many authors that mathematics, a product of human thought, can explain physical reality. Here we explore the possibility that a model of physical objects is created by a computational system that is equivalent to an artificial neural network. Since it is ...
2.5 Direct Analyses of Neural Networks 122 2.5.1 Model Description via Deep Paths 123 2.5.2 Theoretical Insights via Tight Theory for Every Pair (P,S) 125 2.5.3 Probabilistic Bounds over Random Datasets 127 2.5.4 Probabilistic Bound for 0–1 Loss with Multi-Labels 130 ...
The method of transformation of a nonlinear mathematical model of an electromechanical object to the form of a modified artificial recurrent neural network has been further developed. The method makes it possible to use knowledge about the object for the synthesis of a recurrent neural network (RNN...
In this scheme, without any prior knowledge of the mathematical model, the model is evolved iteratively and progressively. The simulation test results verify the effectiveness of this approach. 展开 关键词: Switched Reluctance Motor (SRM Flux Linkage Mathematical Modeling Polynomial Neural Network ...
Review by: Reviewed by Apostolos P Georgopoulos - 《Quarterly Review of Biology》 被引量: 54发表: 2004年 Exploring the Chain Model Dayan, L. F. Abbott, "Network Models," in Theoretical Neuroscience: Computational and Mathematical Modeling of Neural Systems, MIT Press, 2001, pp. 229-278[3]...
Moreover,MRwas accurately predicted using MLF-ANN with back-propagation algorithm, outperforming the mathematical model. Mass transfer calculated using Dincer and Dost analytical approach showedDeffandhmin the range of 1.980×109to 1.839×108m2/s and 1.881×106to 5.653×106m/s, respectively. ...
aAn artificial neural network (ANN) is a mathematical system, which can model the ability of biological neural network by interconnecting many simple neurons. The back-propagation neural network (BPN) is the most prevalent in supervised learning models of the ANN. The procedure of the BPN repeated...