Legends: |
Link to a Model |
Reference cited by multiple papers |

## References and models cited by this paper | ## References and models that cite this paper | |

Abbas HM, Fahmy MM (1994) Neural model for Karhunen-Loeve transform with application to adaptive image compression IEEE Proceedings I, Communications, Speech and Vision 140:135-143Amari S, Cichocki A (1998) Adaptive blind signal processing: Neural network approaches Proc IEEE 86:2026-2048Atick JJ, Redlich AN (1993) Convergent algorithm for sensory receptive field development Neural Comput 5:45-60Baldi PF, Hornik K (1995) Learning in linear neural networks: a survey. IEEE Trans Neural Netw 6:837-58 [Journal] [PubMed]Bannour S, Azimi-Sadjadi MR (1995) Principal component extraction using recursive least squares learning. IEEE Trans Neural Netw 6:457-69 [Journal] [PubMed]Barlow HB, Foldiak P (1989) Adaptation and decorrelation in the cortex The computing neuron, Miall C:Durvin RM:Mitchison GJ, ed. pp.54Bechtel W, Abrahamsen A (1993) Connectionism and the mindBell AJ, Sejnowski TJ (1995) An information-maximization approach to blind separation and blind deconvolution. Neural Comput 7:1129-59 [PubMed]Benvenuto N, Piazza F (1992) On the complex back-propagation algorithm IEEE Trans Signal Processing 40:967-969Bertsekas DP (1996) Constrained optimization and Lagrange multiplier methodsBingham E, Hyvärinen A (2000) A fast fixed-point algorithm for independent component analysis of complex valued signals. Int J Neural Syst 10:1-8 [Journal] [PubMed]Celledoni E, Fiori S (2004) Neural learning by geometric integration of reduced rigid-body equations J Comput Appl Math 172:247-269Chen T, Amari S (2001) Unified stabilization approach to principal and minor components extraction algorithms. Neural Netw 14:1377-87 [PubMed]Chen Y, Hou C (1992) High resolution adaptive bearing estimation using a complex-weighted neural network Proc. of International Conference on Acoustics, Speech and Signal Processing 2:317-320Chow TW, Fang Y (2001) Neural blind deconvolution of MIMO noisy channels IEEE Trans Circuits And Systems (Part I) 48:116-120Cichocki A, Amari S (2003) Adaptive blind signal and image processing: Learning algorithms and applicationsCosta S, Fiori S (2001) Image compression using principal component neural networks Image and Vision Computing Journal [Special issue] 19:649-668De_Castro MCF, De_Castro FCC, Amaral JN, Franco PRG (1998) A complex valued Hebbian learning algorithm Proc. of International Joint Conference on Neural Networks :1235-1238Desodt G, Muller D (1990) Complex ICA applied to the separation of radar signals Proc. of Signal Processing V: Theories and Applications (EUSIPCO) 1:665-668Diamantaras KI, Kung SY (1996) Principal component neural networks: Theory and applicationsDouglas SC (2000) On gradient adaptation with unit-norm constraints IEEE Trans Signal Processing 48:1843-1847Fiori S (2000) Blind separation of circularly distributed source signals by the neural extended APEX algorithm Neurocomputing 34:239-252Fiori S (2001) A theory for learning by weight flow on Stiefel-Grassman manifold Neural Comput 13:1625-1647Fiori S (2002) A theory for learning based on rigid bodies dynamics. IEEE Trans Neural Netw 13:521-31 [Journal] [PubMed]Fiori S (2003) Extended Hebbian learning for blind separation of complex-valued sources IEEE Trans Circuits And Systems (part II) 50:195-202Fiori S (2003) A neural minor component analysis approach to robust constrained beamforming IEEE Proceedings-Vision, Image and Signal Processing 150:205-218Fiori S (2003) Neural independent component analysis by 'maximum-mismatch' learning principle. Neural Netw 16:1201-21 [Journal] [PubMed]Fiori S (2003) Fully-multiplicative orthogonal-group ICA neural algorithm Electronics Lett 39:1737-1738Fiori S (2004) Fast fixed-point neural blind-deconvolution algorithm. IEEE Trans Neural Netw 15:455-9 [Journal] [PubMed]Fiori S (2006) Fixed-point neural independent component analysis algorithms on the orthogonal group Future Generation Computer Systems 22:430 - 440 [Journal] Fiori S, Faba A, Albini L, Cardelli E, Burrascano P (2003) Numerical modeling for the localization and the assessment of electromagnetic field sources IEEE Trans Magnet 39:1638-1641Fiori S, Piazza F (2000) A general class of -APEX PCA neural algorithms IEEE Transactions On Circuits And Systems (part I) 47:1394-1398Földiák P (1990) Forming sparse representations by local anti-Hebbian learning. Biol Cybern 64:165-70 [PubMed]Gao K, Ahmed MO, Swamy MNS (1994) A constrained anti-Hebbian learning algorithm for total least-squares estimation with applications to adaptive FIR and IIR filtering IEEE Trans Circuits Systems (part II) 41:718-729Georgiou GM, Koutsougeras C (1992) Complex-domain backpropagation IEEE Trans Circuits And Systems (part II) 39:330-334Hairer E, Lubich C (2002) Geometric numerical integration: Structure preserving algorithms for ordinary differential equationsHanna AI, Mandic DP (2003) A complex-valued nonlinear neural adaptive filter with a gradient adaptive amplitude of the activation function. Neural Netw 16:155-9 [PubMed]Harpur GF (1997) Low entropy coding with unsupervised neural networks Unpublished doctoral disseratationHaykin S (1989) An introduction to analog and digital communicationsHaykin S (1999) Neural Networks: A Comprehensive Foundation (2nd Ed)Hebb DO (1949) The Organization Of BehaviorHelmke U, Moore JB (1993) Optimization and dynamical systemsHiguchi I, Eguchi S (2004) Robust principal component analysis with adaptive selection for tuning parameters J Mach Learn Res 5:453-471Hyvärinen A (1999) Fast and robust fixed-point algorithms for independent component analysis. IEEE Trans Neural Netw 10:626-34 [Journal] [PubMed]Hyvarinen A, Karunen J, Oja E (2001) Independent component analysisKarhunen J, Joutsensalo J (1994) Representation and separation of signals using nonlinear PCA type learning Neural Netw 7:113-127Karhunen J, Joutsensalo J (1995) Generalizations of PCA, optimization problems, and neural networks Neural Netw 8:549-562Kung SI, Diamantaras KI, Taur JS (1994) Adaptive principal component extraction (APEX) and applications IEEE Trans Signal Processing 42:1202-1217Laheld B, Cardoso J-F (1994) Adaptive source separation with uniform performance. Signal Processing VII: Theories and Applications. Proceedings of EUSIPCO-94., Holt M, ed. pp.183Levine DS, Brown VR, Shirey TV (1999) Oscillations in neural systemsLiano K (1996) Robust error measure for supervised neural network learning with outliers. IEEE Trans Neural Netw 7:246-50 [Journal] [PubMed]Lin Q, Amari SI, Chen T (1998) A unified algorithm for principal and minor components extraction. Neural Netw 11:385-390 [PubMed]Linsker R (1992) Local synaptic rules suffice to maximize mutual information in a linear network Neural Comput 4:691-702Luo FL, Unbehauen R (1997) Applied neural networks for signal processingMathew G, Reddy VU (1994) Development and analysis of a neural network approach to Pisarenko's harmonic retrieval method IEEE Trans Signal Processing 42:663-667Mathis H, Douglas SC (2002) On the existence of universal nonlinearities for blind source separation IEEE Trans Signal Processing 50:1007-1016Miao Y, Hua Y (1998) Fast subspace tracking and neural network learning by a novel information criterion IEEE Trans Signal Processing 46:1967-1979Michaels RB, Upadhyaya BR (1999) A complex valued neural network with local learning laws Intelligent Engineering Systems Through Artificial Neural Networks, Dagli CH, ed. pp.101Miyauchi M, Seki M, Watanabe A, Miyauchi A (1993) Interpretation of optical flow through complex neural network Proc. Int. Workshop on Artificial Neural Networks: Lecture Notes in Computer Science 686:645-650Muezzinoglu MK, Guzelis C, Zurada JM (2003) A new design method for the complex-valued multistate Hopfield associative memory. IEEE Trans Neural Netw 14:891-9 [Journal] [PubMed]Nitta T (1997) An Extension of the Back-Propagation Algorithm to Complex Numbers. Neural Netw 10:1391-1415 [PubMed]Nitta T (2000) An analysis of the fundamental structure of complex-valued neurons Neural Processing Letters 12:239-246Nitta T (2004) Orthogonality of decision boundaries in complex-valued neural networks. Neural Comput 16:73-97 [PubMed]Oja E (1982) A simplified neuron model as a principal component analyzer. J Math Biol 15:267-73 [PubMed]Oja E (1992) Principal components, minor components and linear neural networks Neural Netw 5:927-935Oja E (1994) Beyond PCA: Statistical expansions by nonlinear neural networks Proc Of The International Conference On Artificial Neural Networks 2:1049-1054Oleary DP (1990) Robust regression computation using iteratively reweighted least squares. SIAM J Matrix Anal Appl 11:466-480Palmieri F, Zhu J (1995) Self-association and Hebbian learning in linear neural networks. IEEE Trans Neural Netw 6:1165-84 [Journal] [PubMed]Pandey R (2001) Blind equalization and signal separation using neural networks Unpublished doctoral disseratationPlumbley MD (1992) Efficient information transfer and anti-Hebbian neural networks. Neural Netw 6:823-833Plumbley MD (2003) Algorithms for non-negative independent component analysis IEEE Trans Neural Networks 14:534-543Rubner J, Tavan P (1989) A self-organizing network for principal component analysis Europhys Lett 10:693-698Sanger TD (1989) Optimal unsupervised learning in a single-layer linear feedforward neural networks Neural Networks 2:459-473Schmidt R (1986) Multiple emitter location and signal parameter estimation IEEE Trans Antennas Propagation 34:276-280Shirazi MN, Peper F, Sawai H (1999) Principal component analysis by entropy-likelihood optimization Trans Inf Proc Soc Jpn 40:3638-3644Song W, Yilong L, Feng M (1998) An adaptive robust PCA neural network Proc of International Joint Conference on Neural Networks :2288-2293Spratling MW, Johnson MH (2002) Preintegration lateral inhibition enhances unsupervised learning. Neural Comput 14:2157-79 [Journal] [PubMed]Sudjianto A, Hassoun MH (1995) Statistical basis of nonlinear Hebbian learning and application to clustering Neural Netw 8:707-715Thirion_Moreau N, Moreau E (2002) Generalized criterion for blind multivariate signal equalization Ieee Signal Processing Lette 9:72-74Vegas JM, Zufiria PJ (2004) Generalized neural networks for spectral analysis: dynamics and Liapunov functions. Neural Netw 17:233-45 [Journal] [PubMed]Weingessel A, Hornik K (2000) Local PCA algorithms. IEEE Trans Neural Netw 11:1242-50 [Journal] [PubMed]Widrow B, Winter R (1988) Neural nets for adaptive filtering and adaptive pattern recognition IEEE Computer Magazine 21:25-39Xu L (1992) Least mean square error reconstruction principle for self-organizing neural nets Neural Netw 6:627-648Xu L, Oja E, Suen CY (1992) Modified Hebbian learning for curve and surface fitting Neural Netw 5:441-457Xu L, Yuille AL (1995) Robust PCA by self-organizing rules based on statistical physics approach IEEE Trans Neural Networks 6:131-143Yan WY, Helmke U, Moore JB (1994) Global analysis of Oja's flow for neural networks. IEEE Trans Neural Netw 5:674-83 [Journal] [PubMed]Zufiria PJ (2002) On the discrete-time dynamics of the basic Hebbian neural network node. IEEE Trans Neural Netw 13:1342-52 [Journal] [PubMed] |