• DML-CZ Home

92B20 Neural networks, artificial life and related topics (17 articles)

• Maharajan, Chinnamuniyandi; Sowmiya, Chandran; Xu, Changjin: Delay dependent complex-valued bidirectional associative memory neural networks with stochastic and impulsive effects: An exponential stability approach. (English). Kybernetika, vol. 60 (2024), issue 3, pp. 317-356
• Windisch, Anita; Simon, Péter L.: Global bifurcations in a dynamical model of recurrent neural networks. (English). Applications of Mathematics, vol. 68 (2023), issue 1, pp. 35-50
• Aouiti, Chaouki; Jallouli, Hediene; Miraoui, Mohsen: Global exponential stability of pseudo almost automorphic solutions for delayed Cohen-Grosberg neural networks with measure. (English). Applications of Mathematics, vol. 67 (2022), issue 3, pp. 393-418
• Sriraman, Ramalingam; Nedunchezhiyan, Asha: Global stability of Clifford-valued Takagi-Sugeno fuzzy neural networks with time-varying delays and impulses. (English). Kybernetika, vol. 58 (2022), issue 4, pp. 498-521
• Benhadri, Mimia; Caraballo, Tomás: New sufficient conditions for global asymptotic stability of a kind of nonlinear neutral differential equations. (English). Mathematica Bohemica, vol. 147 (2022), issue 3, pp. 385-405
• Zhang, Tianwei; Xu, Lijun: Mean almost periodicity and moment exponential stability of discrete-time stochastic shunting inhibitory cellular neural networks with time delays. (English). Kybernetika, vol. 55 (2019), issue 4, pp. 690-713
• Tan, Manchun; Xu, Desheng: Existence, uniqueness and global asymptotic stability for a class of complex-valued neutral-type neural networks with time delays. (English). Kybernetika, vol. 54 (2018), issue 4, pp. 844-863
• Wang, Gen-Qiang; Cheng, Sui Sun: Positive fixed point theorems arising from seeking steady states of neural networks. (English). Mathematica Bohemica, vol. 135 (2010), issue 1, pp. 99-112
• Grim, Jiří: Neuromorphic features of probabilistic neural networks. (English). Kybernetika, vol. 43 (2007), issue 5, pp. 697-712
• Constantinescu, Alina: Sum-fuzzy implementation of a choice function using artificial learning procedure with fixed fraction. (English). Applications of Mathematics, vol. 52 (2007), issue 4, pp. 321-326
• Ay, Nihat; Knauf, Andreas: Maximizing multi–information. (English). Kybernetika, vol. 42 (2006), issue 5, pp. 517-538
• Wong, Yee Chin; Sundareshan, Malur K.: A simplex trained neural network-based architecture for sensor fusion and tracking of target maneuvers. (English). Kybernetika, vol. 35 (1999), issue 5, pp. [613]-636
• Vajda, Igor; Grim, Jiří: About the maximum information and maximum likelihood principles. (English). Kybernetika, vol. 34 (1998), issue 4, pp. [485]-494
• Grim, Jiří: Mixture of experts architectures for neural networks as a special case of conditional expectation formula. (English). Kybernetika, vol. 34 (1998), issue 4, pp. [417]-422
• Beneš, Jiří: On neural networks. (English). Kybernetika, vol. 26 (1990), issue 3, pp. 232-247
• Drozen, Vladimír; Nádvorník, Pavel: Varianta modelu biologického neuronu podle N. I. Vvedenského. (Czech) [A variant of the electronic model of the neuron according to N. I. Vvedenskij]. Kybernetika, vol. 1 (1965), issue 2, pp. (180)-183
• Kopřiva, Jiří: Automaty a mozek. (Czech) [Automata and brain]. Pokroky matematiky, fyziky a astronomie, vol. 7 (1962), issue 2, pp. 59-75