Research Group
- Home
- Research
- Data Analytics for Green Energy
- Using Biologically Inspired Computing to Effectively Improve Prediction Models
Publication
Using Biologically Inspired Computing to Effectively Improve Prediction Models
Bou Ezzeddine, A., Loderer, M., Laurinec, P., Vrablecova, P., Rozinajova, V., Lucka, M., Lacko, P., Grmanova, G. – International Journal of Hybrid Intelligent Systems, 2016
Prečo partnerstvo s KInIT
- Pomôžte udržať talenty na Slovensku
- Objavte riešenia svojich problémov pomocou umelej inteligencie
- Získajte nový pohľad na váš výskum, vývoj a inovácie
- Spolupracujte na excelentnom výskume
- Zlepšite vedomosti svojich zamestnancov o vybraných témach umelej inteligencie
We use cookies on our website to give you the most relevant experience by remembering your preferences and repeat visits. By clicking “Accept”, you consent to the use of ALL the cookies.
Manage consent
Privacy Overview
This website uses cookies to improve your experience while you navigate through the website. Out of these, the cookies that are categorized as necessary are stored on your browser as they are essential for the working of basic functionalities of the website. We also use third-party cookies that help us analyze and understand how you use this website. These cookies will be stored in your browser only with your consent. You also have the option to opt-out of these cookies. But opting out of some of these cookies may affect your browsing experience.
Necessary cookies are absolutely essential for the website to function properly. These cookies ensure basic functionalities and security features of the website, anonymously.
Functional cookies help to perform certain functionalities like sharing the content of the website on social media platforms, collect feedbacks, and other third-party features.
Performance cookies are used to understand and analyze the key performance indexes of the website which helps in delivering a better user experience for the visitors.
Analytical cookies are used to understand how visitors interact with the website. These cookies help provide information on metrics the number of visitors, bounce rate, traffic source, etc.
Advertisement cookies are used to provide visitors with relevant ads and marketing campaigns. These cookies track visitors across websites and collect information to provide customized ads.
Other uncategorized cookies are those that are being analyzed and have not been classified into a category as yet.