doi: 10.7392/openaccess.45011866
Classic perceptron is limited to classifying only data which is linearly separable. In this work it is proposed neuron that does not have that limitation. Using hypercube architecture it is possible to describe any logic function. Neuron using that kind of architecture can discover any logic function from train data. It is also possible to write into that kind of neuron any logic rule.
Keywords: Neuron, Hypercube, Multidimensional Activation Function, Neural Network, Hypercube Neuron.
Citation: Fialkiewicz, W. (2017). Hypercube Neuron. Open Science Repository Computer and Information Sciences, Online(open-access), 45011866e. http://doi.org/10.7392/OPENACCESS.45011866
Received: October 22, 2017
Published: October 26, 2017
Copyright: © 2015 Fialkiewicz, W. Creative Commons Attribution 3.0 Unported License.
Contact: [email protected]
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APA
Fialkiewicz, W. (2017). Hypercube Neuron. Open Science Repository Computer and Information Sciences, Online(open-access), 45011866e. http://doi.org/10.7392/OPENACCESS.45011866
MLA
Fialkiewicz, Wojciech. “Hypercube Neuron.” Open Science Repository Computer and Information Sciences Online.open-access (2017): 45011866e. Web. 26 Oct. 2017.
Chicago
Fialkiewicz, Wojciech. “Hypercube Neuron.” Open Science Repository Computer and Information Sciences Online, no. open-access (October 26, 2017): 45011866e. doi:10.7392/OPENACCESS.45011866.
Harvard
Fialkiewicz, W. (2017) ‘Hypercube Neuron’, Open Science Repository Computer and Information Sciences. Open Science Repository, Online(open-access), p. 45011866e. doi: 10.7392/OPENACCESS.45011866.
Science
1. W. Fialkiewicz, Hypercube Neuron, Open Sci. Repos. Comput. Inf. Sci. Online, 45011866e (2017).
Nature
1. Fialkiewicz, W. Hypercube Neuron. Open Sci. Repos. Comput. Inf. Sci. Online, 45011866e (2017).
Research registered in the DOI resolution system as: 10.7392/openaccess.45011866.