Soft computing: Difference between revisions

Content deleted Content added
Citation bot (talk | contribs)
Added date. Removed URL that duplicated identifier. Removed access-date with no URL. | Use this bot. Report bugs. | Suggested by Dominic3203 | Linked from User:Studi90/sandbox | #UCB_webform_linked 104/114
Citation bot (talk | contribs)
Added bibcode. | Use this bot. Report bugs. | Suggested by Headbomb | Linked from Wikipedia:WikiProject_Academic_Journals/Journals_cited_by_Wikipedia/Sandbox | #UCB_webform_linked 497/967
 
(2 intermediate revisions by one other user not shown)
Line 17:
 
=== Neural networks ===
[[Neural network]]s are computational models that attempt to mimic the structure and functioning of the [[human brain]]. While computers typically use [[Boolean algebra|binary logic]] to solve problems, neural networks attempt to provide solutions for complicated problems by enabling systems to think human-like, which is essential to soft computing.<ref name=":2">{{Cite journal |title=Model Compression and Acceleration for Deep Neural Networks: The Principles, Progress, and Challenges |url=https://ieeexplore.ieee.org/document/8253600/;jsessionid=Es-8JJ2aTxyDbz-ZeAW6ojB2bGom7NU413NP86MhLqTbzB3fmAGf!-668841979 |access-date=2023-11-11 |journal=IEEE Signal Processing Magazine| date=2018 | doi=10.1109/MSP.2017.2765695 | last1=Cheng | first1=Yu | last2=Wang | first2=Duo | last3=Zhou | first3=Pan | last4=Zhang | first4=Tao | volume=35 | issue=1 | pages=126–136 | bibcode=2018ISPM...35a.126C | url-access=subscription }}</ref>
 
Neural networks revolve around [[perceptron]]s, which are [[artificial neuron]]s structured in layers. Like the human brain, these interconnected nodes process information using complicated mathematical operations.<ref>{{Cite web |title=What are Neural Networks? {{!}} IBM |url=https://www.ibm.com/topics/neural-networks |access-date=2023-11-11 |website=www.ibm.com |date=6 October 2021 |language=en-us}}</ref>
Line 38:
Due to their dynamic versatility, soft computing models are precious tools that confront complex real-world problems. They are applicable in numerous industries and research fields:
 
Soft computing fuzzy logic and neural networks help with pattern recognition, image processing, and computer vision. Its versatility is vital in [[natural language processing]] as it helps decipher human emotions and language. They also aid in data mining and [[Predictive analytics|predictive analysis]] by obtaining priceless insights from enormous datasets. Soft computing helps optimize solutions from energy, [[financial forecast]]s, environmental and biological data modeling, and anything that deals with or requires models.<ref name=":4" /><ref>{{Cite journal |title=Industrial applications of soft computing: a review |url=https://ieeexplore.ieee.org/document/949483/;jsessionid=xdS8IFFQN8YRhXQajnUBK1GxF5Fzj_edYcUsqEW5vE3xWwb3XJ8G!-1911429853 |access-date=2023-11-11 |journal=Proceedings of the IEEE| date=2001 | doi=10.1109/5.949483 | last1=Dote | first1=Y. | last2=Ovaska | first2=S.J. | volume=89 | issue=9 | pages=1243–1265 | bibcode=2001IEEEP..89.1243D | url-access=subscription }}</ref>
 
Within the medical field, soft computing is revolutionizing disease detection, creating plans to treat patients and models of [[Health care|healthcare]].<ref name=":3" />