Designing The Artificial Poet Using a Synthetic Method of Genetic Algorithm and Neural Networks
Publish place: Sixth National Congress on Electrical Engineering and Computer Engineering of Iran with a New Approach to New Energy
Publish Year: 1398
نوع سند: مقاله کنفرانسی
زبان: English
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شناسه ملی سند علمی:
COMCONF06_269
تاریخ نمایه سازی: 24 شهریور 1398
Abstract:
Artificial intelligence has influenced on everything and faced the social reaction with the modern phenomena. Function of artificial intelligence in human life is increasingly developing in a range of industrial and medical technologies to communicational networks, human sciences and even art. Digital poetry genre along with the digital art has found its fans a few years and its different branches are appearing. Performance of poem in the digital environment and use of software facilities for producing the aesthetics in the language are of achievements of this genre. In this paper, using the neural networks and genetic algorithm, we have designed an artificial poet who enables to compose the Persian harmonic and classic poetry with the extraction of words from the database. Hence, we first make a database from words and extract them by designing a program, then we produce the rhythmic hemistich and rhymed verses by using the genetic algorithm, then we classify our poetic products in the varied rhythms using the neural networks
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Authors
Ali Abdali
Master of Science Electronic Engineering, Iranian Offshore Oil Company, Iran