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Exponential convergence of delayed neural networksXIAOPING XUE.Lecture notes in computer science. 2005, issn 0302-9743, isbn 3-540-28323-4, 3Vol, Part 1, 466-469Conference Paper

The cluster distribution of regulatory motifs of transcription in yeast intronsJUN HU; JING ZHANG.Lecture notes in computer science. 2005, issn 0302-9743, isbn 3-540-28226-2, 2Vol, part II, 51-60Conference Paper

Approximation Bound of Mixture Networks in Lpw SpacesZONGBEN XU; JIANJUN WANG; DEYU MENG et al.Lecture notes in computer science. 2006, pp 60-65, issn 0302-9743, isbn 3-540-34439-X, 6 p.Conference Paper

Bi-modal derivative activation function for sigmoidal feedforward networksSARTAJ SINGH SODHI; CHANDRA, Pravin.Neurocomputing (Amsterdam). 2014, Vol 143, pp 182-196, issn 0925-2312, 15 p.Article

Universal approximation by radial basis function networks of Delsarte translatesARTEAGA, Cristian; MARRERO, Isabel.Neural networks. 2013, Vol 46, pp 299-305, issn 0893-6080, 7 p.Article

Comparison of WAVENET and ANN for predicting the porosity obtained from well log dataSHOKOOH SALJOOGHI, B; HEZARKHANI, A.Journal of petroleum science & engineering. 2014, Vol 123, pp 172-182, issn 0920-4105, 11 p.Article

Analysis on equilibrium points of cellular neural networks with thresholding activation functionQI HAN; XIAOFENG LIAO; TENGFEI WENG et al.Neural computing & applications (Print). 2013, Vol 23, Num 1, pp 23-29, issn 0941-0643, 7 p.Article

Study on modeling of multispectral emissivity and optimization algorithmCHUNLING YANG; YONG YU; DONGYANG ZHAO et al.IEEE transactions on neural networks. 2006, Vol 17, Num 1, pp 238-242, issn 1045-9227, 5 p.Article

Large Memory Capacity in Chaotic Artificial Neural Networks: A View of the Anti-Integrable LimitWEI LIN; GUANRONG CHEN.IEEE transactions on neural networks. 2009, Vol 20, Num 8, pp 1340-1351, issn 1045-9227, 12 p.Article

Sigmoidal function classes for feedforward artificial neural networksCHANDRA, Pravin.Neural processing letters. 2003, Vol 18, Num 3, pp 185-195, issn 1370-4621, 11 p.Article

Nontrivial Global Attractors in 2-D Multistable Attractor Neural NetworksLAN ZOU; HUAJIN TANG; KAY CHEN TAN et al.IEEE transactions on neural networks. 2009, Vol 20, Num 11, pp 1842-1851, issn 1045-9227, 10 p.Article

The extreme learning machine learning algorithm with tunable activation function : Extreme Learning Machines Theory & ApplicationsBIN LI; YIBIN LI; XUEWEN RONG et al.Neural computing & applications (Print). 2013, Vol 22, Num 3-4, pp 531-539, issn 0941-0643, 9 p.Article

A new multi-output neural model with tunable activation function and its applicationsYANJUN SHEN; BINGWEN WANG; FANGXIN CHEN et al.Neural processing letters. 2004, Vol 20, Num 2, pp 85-104, issn 1370-4621, 20 p.Article

Visual comparison of performance for different activation functions in MLP networksPIEKNIEWSKI, Filip; RYBICKI, Leszek.International Joint Conference on Neural Networks. 2004, isbn 0-7803-8359-1, 4Vol, Vol4, 2947-2952Conference Paper

An artificial neuron model with a periodic activation functionNAKAGAWA, M.Journal of the Physical Society of Japan. 1995, Vol 64, Num 3, pp 1023-1031, issn 0031-9015Article

A novel local connection neural networkSHUANG CONG; GUODONG LI; YISONG ZHENG et al.Lecture notes in computer science. 2005, issn 0302-9743, isbn 3-540-28323-4, 3Vol, Part 1, 773-777Conference Paper

Feedforward networks with one hidden layer and their rates of approximationHLAVACKOVA, K.IEE conference publication. 1998, pp 727-732, issn 0537-9989, isbn 0-85296-708-X, 2VolConference Paper

Dynamics of neural networks with non-monotone activation functionDE FELICE, P; MARANGI, C; NARDULLI, G et al.Network (Bristol. Print). 1993, Vol 4, Num 1, pp 1-9, issn 0954-898XArticle

Chord classifications by artificial neural networks revisited : Internal representations of circles of major thirds and minor thirdsYAREMCHUK, Vanessa; DAWSON, Michael R. W.Lecture notes in computer science. 2005, pp 605-610, issn 0302-9743, isbn 3-540-28752-3, 6 p.Conference Paper

Crude oil price forecasting: Experimental evidence from wavelet decomposition and neural network modelingJAMMAZI, Rania; ALOUI, Chaker.Energy economics. 2012, Vol 34, Num 3, pp 828-841, issn 0140-9883, 14 p.Article

The interchangeability of learning rate and gain in backpropagation neural networksTHIMM, G; MOERLAND, P; FIESLER, E et al.Neural computation. 1996, Vol 8, Num 2, pp 451-460, issn 0899-7667Article

Averaged learning equations of error-function-based multilayer perceptronsWEILI GUO; HAIKUN WEI; JUNSHENG ZHAO et al.Neural computing & applications (Print). 2014, Vol 25, Num 3-4, pp 825-832, issn 0941-0643, 8 p.Article

Existence and stability of periodic solution for mixed time-varying delayed neural networks with discontinuous activationsLIAN DUAN; LIHONG HUANG; ZUOWEI CAI et al.Neurocomputing (Amsterdam). 2014, Vol 123, pp 255-265, issn 0925-2312, 11 p.Article

Finite time dual neural networks with a tunable activation function for solving quadratic programming problems and its applicationPENG MIAO; YANJUN SHEN; XIAOHUA XIA et al.Neurocomputing (Amsterdam). 2014, Vol 143, pp 80-89, issn 0925-2312, 10 p.Article

Finite-time boundedness of state estimation for neural networks with time-varying delaysJUN CHENG; SHOUMING ZHONG; QISHUI ZHONG et al.Neurocomputing (Amsterdam). 2014, Vol 129, pp 257-264, issn 0925-2312, 8 p.Article

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