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IEEE Transactions on Neural Networks and Learning Systems, ISSN 2162-237X, 3/2019, pp. 1 - 5
A complex-valued Hopfield neural network (CHNN) is a multistate Hopfield model. Low noise tolerance is the main disadvantage of CHNNs. The hyperbolic Hopfield... 
hyperbolic Hopfield neural networks (HHNNs) | stability condition | Complex-valued Hopfield neural networks (CHNNs) | projection rule
Journal Article
IEEE Transactions on Neural Networks and Learning Systems, ISSN 2162-237X, 3/2019, pp. 1 - 6
In complex-valued Hopfield neural networks (CHNNs), the neuron states are complex numbers whose amplitudes are: 1) they can also be described in special... 
Training | Learning systems | Computational modeling | Neurons | Rotors | Complex-valued neural networks | Hopfield neural networks | rotational invariance | Data models | orthogonal matrix | Biological neural networks
Journal Article
Neurocomputing, ISSN 0925-2312, 09/2019
Journal Article
IEEE Transactions on Neural Networks and Learning Systems, ISSN 2162-237X, 04/2017, Volume 28, Issue 4, pp. 1011 - 1015
Journal Article
Journal Article
IEEE Transactions on Neural Networks and Learning Systems, ISSN 2162-237X, 04/2018, Volume 29, Issue 4, pp. 1366 - 1370
Journal Article
IEEE Transactions on Neural Networks and Learning Systems, ISSN 2162-237X, 03/2018, Volume 29, Issue 3, pp. 744 - 748
Journal Article
by Yanagihara, Katsunori and Kadota, Junichi and Aoki, Nobuki and Matsumoto, Tetsuya and Yoshida, Masaki and Yagisawa, Morimasa and Oguri, Toyoko and Sato, Junko and Ogasawara, Kazuhiko and Wakamura, Tomotaro and Sunakawa, Keisuke and Watanabe, Akira and Iwata, Satoshi and Kaku, Mitsuo and Hanaki, Hideaki and Ohsaki, Yoshinobu and Watari, Tomohisa and Toyoshima, Eri and Takeuchi, Kenichi and Shiokoshi, Mayumi and Takeda, Hiroaki and Miki, Makoto and Kumagai, Toshio and Nakanowatari, Susumu and Takahashi, Hiroshi and Utagawa, Mutsuko and Nishiya, Hajime and Kawakami, Sayoko and Kobayashi, Nobuyuki and Takasaki, Jin and Mezaki, Kazuhisa and Konosaki, Hisami and Aoki, Yasuko and Yamamoto, Yumiko and Shoji, Michi and Goto, Hajime and Saraya, Takeshi and Kurai, Daisuke and Okazaki, Mitsuhiro and Niki, Yoshihito and Yoshida, Koichiro and Kawana, Akihiko and Saionji, Katsu and Fujikura, Yuji and Miyazawa, Naoki and Kudo, Makoto and Sato, Yoshimi and Yamamoto, Masaki and Yoshida, Takashi and Nakamura, Masahiko and Tsukada, Hiroki and Imai, Yumiko and Tsukada, Ayami and Kawasaki, Satoshi and Honma, Yasuo and Yamamoto, Toshinobu and Ban, Nobuyoshi and Mikamo, Hiroshige and Sawamura, Haruki and Miyara, Takayuki and Toda, Hirofumi and Sato, Kaori and Nakamura, Tadahiro and Fujikawa, Yasunori and Mitsuno, Noriko and Mikasa, Keiichi and Kasahara, Kei and Sano, Reiko and Sugimoto, Keisuke and Asari, Seishi and Nishi, Isao and Toyokawa, Masahiro and Miyashita, Naoyuki and Koguchi, Yutaka and Kusano, Nobuchika and Mihara, Eiichirou and Kuwabara, Masao and Watanabe, Yaeko and Kawasaki, Yuji and Takeda, Kenichi and Tokuyasu, Hirokazu and Masui, Kayoko and Negayama, Kiyoshi and Hiramatsu, Kazufumi and Aoki, Yosuke and Fukuoka, Mami and Magarifuchi, Hiroki and Nagasawa, Zenzo and Suga, Moritaka and Muranaka, Hiroyuki and Morinaga, Yoshitomo and Honda, Junichi and Fujita, Masaki
Journal of Infection and Chemotherapy, ISSN 1341-321X, 2015, Volume 21, Issue 6, pp. 410 - 420
Journal Article
by Howard, James F and Utsugisawa, Kimiaki and Benatar, Michael and Murai, Hiroyuki and Barohn, Richard J and Illa, Isabel and Jacob, Saiju and Vissing, John and Burns, Ted M and Kissel, John T and Muppidi, Srikanth and Nowak, Richard J and O'Brien, Fanny and Wang, Jing-Jing and Mantegazza, Renato and Mazia, Claudio Gabriel and Wilken, Miguel and Ortea, Carolina and Saba, Juliet and Rugiero, Marcelo and Bettini, Mariela and Vidal, Gonzalo and Vidal, Nuria and Garcia, Rebekah and Garcia, Sonia and Garcia, Alejandra Dalila and Lamont, Phillipa and Leong, Wai-Kuen and Boterhoven, Heidi and Fyfe, Beverly and Roberts, Leslie and Jasinarachchi, Mahi and Willlems, Natasha and Wanschitz, Julia and Löscher, Wolfgang and De Bleecker, Jan and Van den Abeele, Guy and de Koning, Kathy and De Mey, Katrien and Mercelis, Rudy and Wagemaekers, Linda and Mahieu, Delphine and Van Damme, Philip and Smetcoren, Charlotte and Stevens, Olivier and Verjans, Sarah and D'Hondt, Ann and Tilkin, Petra and Alves de Siqueira Carvalho, Alzira and Hasan, Rosa and Dias Brockhausen, Igor and Feder, David and Ambrosio, Daniel and Melo, Ana Paula and Rocha, Rosana and Rosa, Bruno and Veiga, Thabata and Augusto da Silva, Luiz and Gonçalves Geraldo, Jordana and da Penha Morita Ananias, Maria and Nogueira Coelho, Erica and Paiva, Gabriel and Pozo, Marina and Prando, Natalia and Dada Martineli Torres, Debora and Fernanda Butinhao, Cristiani and Coelho, Erica and Renata Cubas Volpe, Luciana and Duran, Gustavo and Gomes da Silva, Tamires Cristina and Otavio Maia Gonçalves, Luiz and Pazetto, Lucas Eduardo and Souza Duca, Luciana and Suriane Fialho, Tomás Augusto and Gheller Friedrich, Maurício André and Guerreiro, Alexandre and Mohr, Henrique and Pereira Martins, Maurer and da Cruz Pacheco, Daiane and Macagnan, Ana Paula and de Cassia Santos, Aline and Bulle Oliveira, Acary Souza and Amaral de Andrade, Ana Carolina and Annes, Marcelo and Cavalcante Lino, Valeria and Pinto, Wladimir and Miranda, Carolina and Carrara, Fernanda and Souza, Iandra and Genge, Angela and Massie, Rami and Campbell, Natasha and Bril, Vera and Katzberg, Hans and Soltani, Mehran and Ng, Eduardo and Siddiqi, Zaeem and Phan, Celile and Blackmore, Derrick and Vohanka, Stanislav and ... and REGAIN Study Grp and REGAIN Study Group
The Lancet Neurology, ISSN 1474-4422, 12/2017, Volume 16, Issue 12, pp. 976 - 986
Journal Article
Journal Article
Denki Gakkai Ronbunshi. C, Erekutoronikusu, Joho Kogaku, Shisutemu, ISSN 0385-4221, 01/2019, Volume 139, Issue 7, p. 828
In this paper, the stability analysis of an active noise control system using single adaptive filter with an external injection noise and an acceleration... 
Computer simulation | Adaptive filters | Adaptive algorithms | Stability analysis | Noise control | Matrix methods | Adaptive control | Mathematical analysis | White noise | Control stability | Acceleration | Hessian matrices | Active control | Active noise control
Journal Article
Denki Gakkai Ronbunshi. C, Erekutoronikusu, Joho Kogaku, Shisutemu, ISSN 0385-4221, 01/2019, Volume 139, Issue 9, p. 1102
In this paper, the estimation accuracy of a second order cascaded IIR adaptive notch filter using adaptive line enhancer is studied. It is shown that the bias... 
Bias | Adaptive filters | Notch filters
Journal Article
IEICE - Transactions on Fundamentals of Electronics, Communications and Computer Sciences, ISSN 0916-8508, 11/2016, Volume E99.A, Issue 12, pp. 2511 - 2516
In recent years, applications of neural networks with Clifford algebra have become widespread. Hyperbolic numbers are useful Clifford algebra to deal with... 
Algebra | Planes | Neural networks | Mathematical analysis | Electronics | Activation | Mathematical models | Joints
Journal Article
Neurocomputing, ISSN 0925-2312, 12/2018, Volume 320, pp. 150 - 156
The complex-valued Hopfield neural network (CHNN) can deal with multi-level information, and has often been applied to the storage of image data. The... 
Complex-valued Hopfield neural network | Commutative quaternion | Multistate neuron | Projection rule | ASSOCIATIVE MEMORY | RULE | ACTIVATION FUNCTION | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | Neurons | Neural networks | Analysis
Journal Article
SAE technical paper series, Volume 2016-01-1674.
The research described in this paper aimed to study the cornering resistance and dissipation power on the tire contact patch, and to develop an efficient... 
Motor-in-wheel drives | Vehicle handling | Electric vehicles
eJournal
Neurocomputing, ISSN 0925-2312, 11/2018, Volume 316, pp. 30 - 33
Hopfield neural networks have been studied by many researchers. A complex-valued Hopfield neural network (CHNN) is a multistate model of Hopfield neural... 
Central limit theorem | Storage capacity | Complex-valued neural networks | Rotor Hopfield neural networks | ASSOCIATIVE MEMORY | MODEL | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | Neural networks | Analysis
Journal Article
Nature communications, ISSN 2041-1723, 02/2019, Volume 10, Issue 1, pp. 451 - 9
Regeneration of human kidneys in animal models would help combat the severe shortage of donors in transplantation therapy. Previously, we demonstrated by... 
ENABLES GENERATION | NEPHRON PROGENITORS | SALL1 | INHIBITION | SIX2 | MULTIDISCIPLINARY SCIENCES | IDENTIFICATION | LINEAGES | ORGANOGENESIS | ORGANOIDS | Animal models | Kidneys | Mesenchyme | Bladder | Transplantation | Interspecific | Epithelium | Renal tubules | Regeneration | Rodents | Stem cells | Mice | Complementation | Ureter | Pancreas | Pluripotency
Journal Article
20.