Revision as of 02:18, 27 August 2024 edit MichaelMaggs (talk \| contribs) Autopatrolled, Extended confirmed users, File movers, Pending changes reviewers, Rollbackers 46,510 edits Adding local short description: "Types of approximate algorithm", overriding Wikidata description "computing that is tolerant of imprecision, uncertainty, partial truth, and approximation" Tag: Shortdesc helper ← Previous edit		Revision as of 08:58, 24 October 2024 edit undo 2001:2f8:1c1:c3a::68f (talk) →Challenges and limitations Next edit →
Line 44: == Challenges and limitations == Soft computing methods such as neural networks and fuzzy models are complicated and may need clarification. Sometimes, it takes effort to understand the logic behind neural network algorithms' decisions, making it challenging for a user to adopt them. In addition, it takes valuable, costly resources to feed models extensive data sets, and sometimes it is impossible to acquire the computational resources necessary. There are also significant hardware limitations which limits the computational power.<ref name=":2" /> Furthermore, there needs to be more backing behind soft computing algorithms, which makes them less reliable than complicated computing models. Finally, there is a considerable potential for bias because of the input data, which leads to ethical dilemmas if methods are in fields such as medicine, finance, and healthcare. == References ==

Soft computing: Difference between revisions