Because of their ability to reproduce the biological neural networks, ANNs (Artificial neural networks) have found uncountable applications to a wide range of disciplines. Simina Maris, Titus Slavici, Petre Nenu and Liliana Baciu will present in the latest volume of BRAIN journal an article about the usage of artificial intelligence, especially artificial neural networks (ANNs), in the development of an efficient research plan for studying the quality of finite products, in particular wood briquettes obtained from various biomass mixtures.
Their work is a response to the needs expressed by a private company (SC Andrei Slavici SRL) searching for innovation in the production of wood pellets and briquettes on the market of nonconventional bio-fuels.Example of multilayer neural network (source: Samarasinghe, 2016)
The present paper suggests the use of ANNs as a substitue for the traditional statistical methods. The traditional methods link a certain output variable if given a set of input conditions, while ANNs emulate human neurons by processing some input data and automatically returning a function of it, making them one of the most accurate decision-making tools, suited for solving problems in the same way that a human brain would. The results obtained using ANNs are useful to discern which inputs determine the desired outputs, which helps in performing certain practical experiments with reduced costs, increasing, in the given case, the production of fire pellets and briquettes.
The research plan unfolded in the article Artificial Intelligence as a Decision-making Tool in Planning the Research is meant to highlight the role of academic research applied in the socio-cultural and economic development, proving that innovation became gradually the most important factor leading to productivity growth and that Artificial Intelligence provides the researcher with versatile tools which can be successfully used for technological development.