Random neural networks with state-dependent firing neuronsJO, Sungho; JIJUN YIN; MAO, Zhi-Hong et al.IEEE transactions on neural networks. 2005, Vol 16, Num 4, pp 980-983, issn 1045-9227, 4 p.Article

The Multilayer Random Neural NetworkAGUILAR, Jose; MOLINA, Cristhian.Neural processing letters. 2013, Vol 37, Num 2, pp 111-133, issn 1370-4621, 23 p.Article

Pattern separation function of two-layered random net with feedforward inhibitory connectionsKOBAYASHI, K; TORIOKA, T; HARA, H et al.Systems and computers in Japan. 1995, Vol 26, Num 4, pp 42-51, issn 0882-1666Article

A study of real-time packet video quality using random neural networksMOHAMED, Samir; RUBINO, Gerardo.IEEE transactions on circuits and systems for video technology. 2002, Vol 12, Num 12, pp 1071-1083, issn 1051-8215, 13 p.Article

Réseau Neuronal Aléatoire : Applications à l'Apprentissage et à la Reconnaissance d'Images = The Random Neural Network : Applications to Image learning and RecognitionMokhtari, Myriam; Gelenbe, Erol.1994, 184 p.Thesis

Optimisation combinatoire par le calcul neuronal et parallélisme optimal = Combinatorial optimization by neural computing and optimal parallelismPekergin, Mehmet Ferhan; Gelenbe, Erol.1992, 148 p.Thesis

RESEAUX DE NEURONES ALEATOIRES ET TEXTURES D'IMAGES = RANDOM NEURAL NETWORKS AND IMAGE TEXTURESAtalay, Volkan; Gelenbe, Erol.1993, 130 p.Thesis

High capacity associative memory based on the random neural network modelLIKAS, A; STAFYLOPATIS, A.International journal of pattern recognition and artificial intelligence. 1996, Vol 10, Num 8, pp 919-937, issn 0218-0014Article

APPRENTISSAGE SUPERVISE DANS LE RESEAU NEURONAL ALEATOIRE Application aux Mémoires Associatives, à la Compression d'Images = SUPERVISED LEARNING IN THE RANDOM NEURAL NETWORK Application to Associative Memories, Image CompressionHubert, Christine; Gelenbe, Erol.1995, 185 p.Thesis

Extended feed forward neural networks with random weights for face recognitionJING LU; JIANWEI ZHAO; FEILONG CAO et al.Neurocomputing (Amsterdam). 2014, Vol 136, pp 96-102, issn 0925-2312, 7 p.Article

Random neural networks with multiple classes of signalsGELENBE, E; FOURNEAU, J.-M.Neural computation. 1999, Vol 11, Num 4, pp 953-963, issn 0899-7667Article

GBOM-oriented management of production disruption risk and optimization of supply chain constructionTONG SHU; SHOU CHEN; SHOUYANG WANG et al.Expert systems with applications. 2014, Vol 41, Num 1, pp 59-68, issn 0957-4174, 10 p.Article

Projection vector machineDENG, Wan-Yu; ZHENG, Qing-Hua; WANG, Zhong-Min et al.Neurocomputing (Amsterdam). 2013, Vol 120, pp 490-498, issn 0925-2312, 9 p.Article

Reduced complexity algorithms for cognitive packet network routersHEY, Laurence A.Computer communications. 2008, Vol 31, Num 16, pp 3822-3830, issn 0140-3664, 9 p.Article

Condition monitoring of induction motors: A review and an application of an ensemble of hybrid intelligent modelsSEERA, Manjeevan; CHEE PENG LIM; NAHAVANDI, Saeid et al.Expert systems with applications. 2014, Vol 41, Num 10, pp 4891-4903, issn 0957-4174, 13 p.Article

Hierarchical random cellular neural networks for system-level brain-like signal processingKOZMA, Robert; PULJIC, Marko.Neural networks. 2013, Vol 45, pp 101-110, issn 0893-6080, 10 p.Article