In order to extract more important morphological features of neuron images and achieve accurate classification of the neuron type, a method is proposed that uses Sugeno fuzzy integral integration of three optimized deep learning models, namely AlexNet, VGG11_bn, and ResNet-50. Firstly, using the ...
Automatic molecular classification of cancer based on DNA microarray has many advantages over conventional classification based on morphological appearance of the tumor. Using artificial neural networks is a general approach for automatic classification. In this paper, Direction-Basis-Function neuron and Prio...
The neuron identity problem: form meets function. Neuron 80, 602–612 (2013). Article CAS PubMed Google Scholar Markram, H. et al. Interneurons of the neocortical inhibitory system. Nat. Rev. Neurosci. 5, 793–807 (2004). Article CAS PubMed Google Scholar ...
It not only overcomes the computational complexity, training inefficiency, and difficulty of the practical application of RNN but also avoids the problem of locally optimal solutions. ESN mimics the structure of recursively connected neuron circuits in the brain and consists of an input layer, an ...
Multi-Valued Neuron (MVN) was proposed forpattern classification. It operates with complex-valued inputs, outputs, andweights, and its learning algorithm is based on error-correcting rule. Theactivation function of MVN is not differentiable. Therefore, we can not applybackpropagation when constructing...
Based on still simplified mathematical notation, it is proposed that nonlinear aggregating function of neural inputs should be understood as composition of synaptic as well as partial somatic neural operation also for static neural units. Thus it unravels novel, simplified, yet universal insight into ...
Therefore, this paper proposed a deep learning model of image classification, which aimed to provide foundation and support for image classification and recognition of large datasets. Firstly, based on the analysis of the basic theory of neural network, this paper expounded the different types of ...
Percentage points are tabled, and a lower bound to the power function is charted. Confidence limits for a cumulative distributio... FJM Jr - 《Journal of the American Statistical Association》 被引量: 3607发表: 0年 A million spiking-neuron integrated circuit with a scalable communication network...
Based on the interaction of the CAE reconstruction process and the CNN classification process, the CAE regards the saturated features of the VICur as noise and removes them accurately. Consequently, it guides CNN to focus on the unsaturated features of the VICur. The unsaturated part of the VI...
One output neuron with a sigmoidal function does the defuzzyfication and classifies the plates. Three classes are obtained: the A class represents the best plates, the S class is drawn up by the worst plates and the C class depends on demand. The experimental results show that it's ...