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A model of artificial neuronal networks designed according the natural neuronal brain structures
The functional structure of our new network is not preset; instead, it
comes into existence in a random, stochastic manner.
The anatomical structure of our model consists of two input “neurons”, hundreds up to five thousands of hidden-layer “neurons” and one output “neuron”.
The proper process is based on iteration, i.e., mathematical operation governed by a set of rules, in which repetition helps…
Creator
- Kolda, T.
- Faber, J.
- Svoboda, P.
- Dvořák, M.
Subject
- time dependent artificial network
- genetic algorithm
- stochastic training
- brain structures
- parallel computation
- formator - complex
Type of item
- model:article
Creator
- Kolda, T.
- Faber, J.
- Svoboda, P.
- Dvořák, M.
Subject
- time dependent artificial network
- genetic algorithm
- stochastic training
- brain structures
- parallel computation
- formator - complex
Type of item
- model:article
Providing institution
Aggregator
Rights statement for the media in this item (unless otherwise specified)
- http://creativecommons.org/publicdomain/mark/1.0/
Rights
- policy:public
Source
- Neural network world: international journal on neural and mass-parallel computing and information systems | 2004 Volume:14 | Number:3-4
Identifier
- uuid:436cf357-45f2-4db0-bb66-22a9fc5d8856
- https://cdk.lib.cas.cz/client/handle/uuid:436cf357-45f2-4db0-bb66-22a9fc5d8856
- uuid:436cf357-45f2-4db0-bb66-22a9fc5d8856
Format
- bez média
- svazek
Language
- eng
- eng
Providing country
- Czech Republic
Collection name
First time published on Europeana
- 2021-06-01T12:19:28.026Z
Last time updated from providing institution
- 2021-06-01T12:19:28.026Z