{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,7,30]],"date-time":"2025-07-30T14:34:45Z","timestamp":1753886085669,"version":"3.41.2"},"reference-count":35,"publisher":"Wiley","issue":"1","license":[{"start":{"date-parts":[[2011,12,8]],"date-time":"2011-12-08T00:00:00Z","timestamp":1323302400000},"content-version":"vor","delay-in-days":341,"URL":"http:\/\/creativecommons.org\/licenses\/by\/3.0\/"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Advances in Artificial Neural Systems"],"published-print":{"date-parts":[[2011,1]]},"abstract":"<jats:p>The use of hybrid intelligent systems (HISs) is necessary to bring the behavior of intelligent autonomous vehicles (IAVs) near the human one in recognition, learning, adaptation, generalization, decision making, and action. First, the necessity of HIS and some navigation approaches based on fuzzy ArtMap neural networks (FAMNNs) are discussed. Indeed, such approaches can provide IAV with<jats:italic>more autonomy, intelligence<\/jats:italic>, and<jats:italic>real-time<\/jats:italic>processing capabilities. Second, an FAMNN\u2010based navigation approach is suggested. Indeed, this approach must provide vehicles with capability, after<jats:italic>supervised fast stable<\/jats:italic>learning: simplified fuzzy ArtMap (SFAM), to recognize both target\u2010location and obstacle\u2010avoidance situations using FAMNN1 and FAMNN2, respectively. Afterwards, the decision making and action consist of two association stages, carried out by<jats:italic>reinforcement<\/jats:italic>trial and error learning, and their coordination using NN3. Then, NN3 allows to decide among the five (05) actions to move towards 30<jats:sup>\u2218<\/jats:sup>, 60<jats:sup>\u2218<\/jats:sup>, 90<jats:sup>\u2218<\/jats:sup>, 120<jats:sup>\u2218<\/jats:sup>, and 150<jats:sup>\u2218<\/jats:sup>. Third, simulation results display the ability of the FAMNN\u2010based approach to provide IAV with<jats:italic>intelligent behaviors<\/jats:italic>allowing to<jats:italic>intelligently<\/jats:italic>navigate in partially structured environments. Finally, a discussion, dealing with the suggested approach and how its<jats:italic>robustness<\/jats:italic>would be if implemented on real vehicle, is given.<\/jats:p>","DOI":"10.1155\/2011\/523094","type":"journal-article","created":{"date-parts":[[2011,12,8]],"date-time":"2011-12-08T21:14:41Z","timestamp":1323378881000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Navigation Behaviors Based on Fuzzy ArtMap Neural Networks for Intelligent Autonomous Vehicles"],"prefix":"10.1155","volume":"2011","author":[{"given":"Amine","family":"Chohra","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ouahiba","family":"Azouaoui","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2011,12,8]]},"reference":[{"key":"e_1_2_6_1_2","doi-asserted-by":"publisher","DOI":"10.1016\/0893-6080(91)90067-F"},{"key":"e_1_2_6_2_2","doi-asserted-by":"publisher","DOI":"10.1111\/j.1467-8640.1995.tb00050.x"},{"key":"e_1_2_6_3_2","doi-asserted-by":"publisher","DOI":"10.1016\/0921-8890(95)00004-Y"},{"key":"e_1_2_6_4_2","unstructured":"ChohraA.andFarahA. 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