Spiking Neural P Systems With Learning Functions
暂无分享,去创建一个
Pan Zheng | Tingfang Wu | Alfonso Rodríguez-Patón | Linqiang Pan | Tao Song | M. L. Dennis Wong | Senior Member | L. Pan | Tingfang Wu | Tao Song | Pan Zheng | M. L. D. Wong | Alfonso Rodríguez-Patón
[1] Haibo He,et al. Learning from Imbalanced Data , 2009, IEEE Transactions on Knowledge and Data Engineering.
[2] Oscar H. Ibarra,et al. Sequential SNP systems based on min/max spike number , 2009, Theor. Comput. Sci..
[3] Xiangxiang Zeng,et al. Performing Four Basic Arithmetic Operations With Spiking Neural P Systems , 2012, IEEE Transactions on NanoBioscience.
[4] G Deco,et al. The coding of information by spiking neurons: an analytical study. , 1998, Network.
[5] Arnaud Delorme,et al. Face identification using one spike per neuron: resistance to image degradations , 2001, Neural Networks.
[6] Xiangxiang Zeng,et al. A Note on Small Universal Spiking Neural P Systems , 2009, Workshop on Membrane Computing.
[7] Dean V. Buonomano,et al. A Neural Network Model of Temporal Code Generation and Position-Invariant Pattern Recognition , 1999, Neural Computation.
[8] Lyle N. Long,et al. Character Recognition using Spiking Neural Networks , 2007, 2007 International Joint Conference on Neural Networks.
[9] Gerald Sommer,et al. Pattern Recognition by Self-Organizing Neural Networks , 1994 .
[10] Christo Panchev,et al. Temporal Processing in a Spiking Model of the Visual System , 2006, ICANN.
[11] Jeffrey D. Ullman,et al. Introduction to Automata Theory, Languages and Computation , 1979 .
[12] Marian Gheorghe,et al. Research Frontiers of membrane Computing: Open Problems and Research Topics , 2013, Int. J. Found. Comput. Sci..
[13] Hava T. Siegelmann,et al. On the Computational Power of Neural Nets , 1995, J. Comput. Syst. Sci..
[14] Tao Song,et al. Spiking Neural P Systems With Rules on Synapses Working in Maximum Spiking Strategy. , 2015, IEEE transactions on nanobioscience.
[15] Linqiang Pan,et al. Asynchronous spiking neural P systems with local synchronization , 2013, Inf. Sci..
[16] Tingfang Wu,et al. Spiking neural P systems with rules on synapses and anti-spikes , 2018, Theor. Comput. Sci..
[17] Shaista Hussain,et al. Learning Spike Time Codes Through Morphological Learning With Binary Synapses , 2015, IEEE Transactions on Neural Networks and Learning Systems.
[18] Amr Badr,et al. Towards a Spiking Neural P Systems OS , 2010, ArXiv.
[19] Gheorghe Păun,et al. Spiking Neural P Systems with Weights , 2010, Neural Computation.
[20] Haibo He,et al. A neural network based online learning and control approach for Markov jump systems , 2015, Neurocomputing.
[21] Nikola K. Kasabov,et al. NeuCube: A spiking neural network architecture for mapping, learning and understanding of spatio-temporal brain data , 2014, Neural Networks.
[22] Maoguo Gong,et al. A Multiobjective Sparse Feature Learning Model for Deep Neural Networks , 2015, IEEE Transactions on Neural Networks and Learning Systems.
[23] Philip D. Wasserman,et al. Advanced methods in neural computing , 1993, VNR computer library.
[24] Gheorghe Paun,et al. Spiking neural P systems with neuron division and budding , 2011, Science China Information Sciences.
[25] Dominic Palmer-Brown,et al. A modal learning adaptive function neural network applied to handwritten digit recognition , 2008, Inf. Sci..
[26] A. Michel,et al. Analysis and synthesis of a class of neural networks: linear systems operating on a closed hypercube , 1989 .
[27] Xiangxiang Zeng,et al. Deterministic solutions to QSAT and Q3SAT by spiking neural P systems with pre-computed resources , 2010, Theor. Comput. Sci..
[28] Hojjat Adeli,et al. Improved spiking neural networks for EEG classification and epilepsy and seizure detection , 2007, Integr. Comput. Aided Eng..
[29] Linqiang Pan,et al. Spiking Neural P Systems With Rules on Synapses Working in Maximum Spikes Consumption Strategy , 2015, IEEE Transactions on NanoBioscience.
[30] Linqiang Pan,et al. Normal Forms for Some Classes of Sequential Spiking Neural P Systems , 2013, IEEE Transactions on NanoBioscience.
[31] Gheorghe Paun. Spiking Neural P Systems: A Tutorial , 2007, Bull. EATCS.
[32] Fuliang Li,et al. Character Recognition System Based on Back-Propagation Neural Network , 2010, 2010 International Conference on Machine Vision and Human-machine Interface.
[33] Jinyu Wen,et al. Adaptive Learning in Tracking Control Based on the Dual Critic Network Design , 2013, IEEE Transactions on Neural Networks and Learning Systems.
[34] Michael Sipser,et al. Introduction to the Theory of Computation , 1996, SIGA.
[35] Xun Wang,et al. Design of logic gates using spiking neural P systems with homogeneous neurons and astrocytes-like control , 2016, Inf. Sci..
[36] Andrzej J. Kasinski,et al. Supervised Learning in Spiking Neural Networks with ReSuMe: Sequence Learning, Classification, and Spike Shifting , 2010, Neural Computation.
[37] Christian W. Eurich,et al. Multidimensional Encoding Strategy of Spiking Neurons , 2000, Neural Computation.
[38] S. Ramakrishnan. On the Application of Various Probabilistic Neural Networks in Solving Different Pattern Classification Problems , 2008 .
[39] Zhang Wei. Machine Printed Character Recognition System Using Backpropagation Neural Network , 2009 .
[40] Bolei Zhou,et al. Learning Deep Features for Scene Recognition using Places Database , 2014, NIPS.
[41] Huaguang Zhang,et al. A Comprehensive Review of Stability Analysis of Continuous-Time Recurrent Neural Networks , 2014, IEEE Transactions on Neural Networks and Learning Systems.
[42] Giancarlo Mauri,et al. Uniform solutions to SAT and Subset Sum by spiking neural P systems , 2008, Natural Computing.
[43] Xingyi Zhang,et al. Spiking Neural P Systems With White Hole Neurons , 2016, IEEE Transactions on NanoBioscience.
[44] Zhengyou He,et al. Fault Diagnosis of Electric Power Systems Based on Fuzzy Reasoning Spiking Neural P Systems , 2015, IEEE Transactions on Power Systems.
[45] Oscar H. Ibarra,et al. Asynchronous spiking neural P systems , 2009, Theor. Comput. Sci..
[46] Chin-Teng Lin,et al. Brain Dynamics in Predicting Driving Fatigue Using a Recurrent Self-Evolving Fuzzy Neural Network , 2016, IEEE Transactions on Neural Networks and Learning Systems.
[47] Guigang Zhang,et al. Deep Learning , 2016, Int. J. Semantic Comput..
[48] Xiangxiang Zeng,et al. Homogeneous Spiking Neural P Systems , 2009, Fundam. Informaticae.
[49] Martin Fodslette Meiller. A Scaled Conjugate Gradient Algorithm for Fast Supervised Learning , 1993 .
[50] Gheorghe Paun,et al. The Oxford Handbook of Membrane Computing , 2010 .
[51] Ferrante Neri,et al. An Optimization Spiking Neural P System for Approximately Solving Combinatorial Optimization Problems , 2014, Int. J. Neural Syst..
[52] Sander M. Bohte,et al. Error-backpropagation in temporally encoded networks of spiking neurons , 2000, Neurocomputing.
[53] Gheorghe Paun,et al. Computing with Membranes , 2000, J. Comput. Syst. Sci..
[54] Pan Linqiang,et al. Spiking neural P systems with neuron division and budding , 2011 .
[55] Alfonso Rodríguez-Patón,et al. A Parallel Image Skeletonizing Method Using Spiking Neural P Systems with Weights , 2018, Neural Processing Letters.
[56] Romain Brette,et al. Equation-oriented specification of neural models for simulations , 2013, Front. Neuroinform..
[57] Gheorghe Paun,et al. Spiking Neural P Systems with Anti-Spikes , 2009, Int. J. Comput. Commun. Control.
[58] Cheng-Lin Liu,et al. Handwritten digit recognition: benchmarking of state-of-the-art techniques , 2003, Pattern Recognit..
[59] Romain Brette,et al. The Brian Simulator , 2009, Front. Neurosci..
[60] Wofgang Maas,et al. Networks of spiking neurons: the third generation of neural network models , 1997 .
[61] Berin Martini,et al. Embedded Streaming Deep Neural Networks Accelerator With Applications , 2017, IEEE Transactions on Neural Networks and Learning Systems.
[62] Gheorghe Paun. Spiking Neural P Systems with Astrocyte-Like Control , 2007, J. Univers. Comput. Sci..
[63] Mihai Ionescu,et al. Several Applications of Spiking Neural P Systems , 2007 .
[64] J.A. Anderson,et al. Neural Network Models for Pattern Recognition and Associative Memory , 2002 .
[65] Andrei Paun,et al. Small universal spiking neural P systems , 2007, Biosyst..
[66] Ruslan Mitkov,et al. The Oxford handbook of computational linguistics , 2003 .