The following information was submitted:
Transactions: INTERNATIONAL JOURNAL of COMPUTERS
Transactions ID Number: 19-339
Full Name: Martin Ruzel
Position: Ph.D. Candidate
Age: ON
Sex: Male
Address: Krupska 26, Praha
Country: CZECH REPUBLIC
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E-mail address: ruzekmar@fd.cvut.cz
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Title of the Paper: Homeostasis and artificial neuron
Authors as they appear in the Paper: Martin Ruzek, Tomas Brandejsky
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Number of paper pages: 9
Abstract: Homeostasis is a property of a system that regulates its internal environment in order to maintain stable condition. This property is typical for biological systems and therefore also for neural cell. This article presents one possible use of the idea of homeostasis in the field of the artificial neural networks. The proposed neuron is a homeostat for which the state of equilibrium means a situation when the level of acceptance of its output reaches its maximum. The neuron is operating with two kinds of information: its input signal (as any artificial neuron), and the input weights of other neurons that are receiving its output. This idea is inspired by the fact that the biological neuron can know which part of its output energy is accepted by other neurons. Several methods of the learning are presented. The main feature of the proposed neuron is the independence of the learning mode; no teacher or higher structure are needed as for example in back-propagation algo!
rithm. Several qualities of the homeostatic neuron, such as stability, speed of learning and independence, are discussed. The results of the first test are presented.
Keywords: artificial neuron, homeostasis, learning, artificial neural network
EXTENSION of the file: .pdf
Special (Invited) Session: Model of homeostatic artificial neuron
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