publication venue for
- AdjointBackMapV2: Precise reconstruction of arbitrary CNN unit's activation via adjoint operators.. 170:55-71. 2023
- Adaptive fixed-time output synchronization for complex dynamical networks with multi-weights.. 163:28-39. 2023
- Bounded synchronization for uncertain master-slave neural networks: An adaptive impulsive control approach.. 162:288-296. 2023
- Deep learning-accelerated computational framework based on Physics Informed Neural Network for the solution of linear elasticity.. 162:472-489. 2023
- Multiple asymptotical -periodicity of fractional-order delayed neural networks under state-dependent switching.. 157:11-25. 2023
- Neurodynamic approaches for sparse recovery problem with linear inequality constraints.. 155:592-601. 2022
- Sparse signal reconstruction via recurrent neural networks with hyperbolic tangent function.. 153:1-12. 2022
- Set-membership filtering for complex networks with constraint communication channels.. 152:479-486. 2022
- Distributed k-winners-take-all via multiple neural networks with inertia.. 151:385-397. 2022
- Lag H synchronization of coupled neural networks with multiple state couplings and multiple delayed state couplings.. 151:143-155. 2022
- AdjointBackMap: Reconstructing effective decision hypersurfaces from CNN layers using adjoint operators.. 154:78-98. 2022
- Detection of pancreatic cancer by convolutional-neural-network-assisted spontaneous Raman spectroscopy with critical feature visualization.. 144:455-464. 2021
- Reliable impulsive synchronization for fuzzy neural networks with mixed controllers.. 143:759-766. 2021
- Multistability of delayed fractional-order competitive neural networks.. 140:325-335. 2021
- Event-triggered impulsive synchronization of discrete-time coupled neural networks with stochastic perturbations and multiple delays.. 132:447-460. 2020
- Stability of delayed inertial neural networks on time scales: A unified matrix-measure approach.. 130:33-38. 2020
- Generalized norm for existence, uniqueness and stability of Hopfield neural networks with discrete and distributed delays.. 128:288-293. 2020
- Training memristor-based multilayer neuromorphic networks with SGD, momentum and adaptive learning rates.. 128:142-149. 2020
- Exponential synchronization of memristive neural networks with time-varying delays via quantized sliding-mode control.. 126:163-169. 2020
- Chaos in fractional-order discrete neural networks with application to image encryption.. 125:174-184. 2020
- Global exponential synchronization of delayed memristive neural networks with reaction-diffusion terms.. 123:70-81. 2020
- Global synchronization of coupled delayed memristive reaction-diffusion neural networks.. 123:362-371. 2020
- A smoothing neural network for minimization l1-lp in sparse signal reconstruction with measurement noises.. 122:40-53. 2020
- Sliding mode control of neural networks via continuous or periodic sampling event-triggering algorithm.. 121:140-147. 2020
- Synchronization of memristive neural networks with leakage delay and parameters mismatch via event-triggered control.. 119:178-189. 2019
- Delay-dependent criterion for asymptotic stability of a class of fractional-order memristive neural networks with time-varying delays.. 118:289-299. 2019
- On-line prediction of ferrous ion concentration in goethite process based on self-adjusting structure RBF neural network.. 116:1-10. 2019
- Passivity analysis of delayed reaction-diffusion memristor-based neural networks.. 109:159-167. 2019
- Global exponential synchronization of multiple coupled inertial memristive neural networks with time-varying delay via nonlinear coupling.. 108:260-271. 2018
- General memristor with applications in multilayer neural networks.. 103:142-149. 2018
- Global exponential synchronization of inertial memristive neural networks with time-varying delay via nonlinear controller.. 102:138-148. 2018
- Stability analysis for discrete-time stochastic memristive neural networks with both leakage and probabilistic delays.. 102:1-9. 2018
- Smoothing inertial projection neural network for minimization Lp-q in sparse signal reconstruction.. 99:31-41. 2018
- Fixed-time stabilization of impulsive Cohen-Grossberg BAM neural networks.. 98:203-211. 2018
- Reduced-order state estimation of delayed recurrent neural networks.. 98:59-64. 2018
- Variable structure controller design for Boolean networks.. 97:107-115. 2018
- Global exponential stability of inertial memristor-based neural networks with time-varying delays and impulses.. 95:102-109. 2017
- Efficient construction of sparse radial basis function neural networks using L1-regularization.. 94:239-254. 2017
- Periodicity and stability for variable-time impulsive neural networks.. 94:24-33. 2017
- Collective neurodynamic optimization for economic emission dispatch problem considering valve point effect in microgrid.. 93:126-136. 2017
- Hybrid impulsive and switching Hopfield neural networks with state-dependent impulses.. 93:176-184. 2017
- Fixed-time stability of dynamical systems and fixed-time synchronization of coupled discontinuous neural networks.. 89:74-83. 2017
- Mittag-Leffler stability of fractional-order neural networks in the presence of generalized piecewise constant arguments.. 85:118-127. 2017
- Multistability of complex-valued neural networks with discontinuous activation functions.. 84:125-142. 2016
- New results on anti-synchronization of switched neural networks with time-varying delays and lag signals.. 81:52-58. 2016
- A recurrent neural network for adaptive beamforming and array correction.. 80:110-117. 2016
- Exponential stabilization and synchronization for fuzzy model of memristive neural networks by periodically intermittent control.. 75:162-172. 2016
- Distributed parameter estimation in unreliable sensor networks via broadcast gossip algorithms.. 73:1-9. 2016
- Reinforcement learning solution for HJB equation arising in constrained optimal control problem.. 71:150-158. 2015
- Synchronization of neural networks with stochastic perturbation via aperiodically intermittent control.. 71:105-111. 2015
- Robust stability of stochastic fuzzy delayed neural networks with impulsive time window.. 67:84-91. 2015
- Event-triggered asynchronous intermittent communication strategy for synchronization in complex dynamical networks.. 66:1-10. 2015
- Circuit design and exponential stabilization of memristive neural networks.. 63:48-56. 2015
- Impulsive exponential synchronization of randomly coupled neural networks with Markovian jumping and mixed model-dependent time delays.. 60:25-32. 2014
- Noise cancellation of memristive neural networks.. 60:74-83. 2014
- Neural network for solving Nash equilibrium problem in application of multiuser power control.. 57:73-78. 2014
- Impulsive synchronization schemes of stochastic complex networks with switching topology: average time approach.. 54:85-94. 2014
- Neural network for solving convex quadratic bilevel programming problems.. 51:17-25. 2014
- Exponential stabilization of delayed recurrent neural networks: A state estimation based approach.. 48:153-157. 2013
- Global exponential synchronization of memristor-based recurrent neural networks with time-varying delays.. 48:195-203. 2013
- A mode-dependent approach to state estimation of recurrent neural networks with Markovian jumping parameters and mixed delays.. 46:50-61. 2013
- Global exponential estimates of delayed stochastic neural networks with Markovian switching.. 36:136-145. 2012
- Facilitating neural dynamics for delay compensation: a road to predictive neural dynamics?. 22:267-276. 2009
- Representation in dynamical agents.. 22:258-266. 2009
- Stability of Cohen-Grossberg neural networks with time-varying delays.. 20:868-873. 2007
- Cognitive conflict without explicit conflict monitoring in a dynamical agent.. 19:1430-1436. 2006
- Pattern completion through phase coding in population neurodynamics.. 16:649-656. 2003
- Zonal function network frames on the sphere.. 16:183-203. 2003
- Response to letter by Gaudiano et al. 7:406-407. 1994
- A learning rule based on empirically-derived activity-dependent neuromodulation supports operant conditioning in a small network. 5:789-803. 1992
- $39.00, 276 ppS.E.HampsonConnectionistic Problem Solving: Computational Aspects of Biological Learning1990Birkhauser0-8176-3450-9. 5:721-722. 1992
- Small networks of empirically derived adaptive elements simulate some higher-order features of classical conditioning. 3:507-523. 1990