-
1
-
-
3042584634
-
A neural root finder of polynomials based on root moments
-
Huang D.S., Ip H.H.S., and Chi Z. A neural root finder of polynomials based on root moments. Neural Computation 16 8 (2004) 1721-1762
-
(2004)
Neural Computation
, vol.16
, Issue.8
, pp. 1721-1762
-
-
Huang, D.S.1
Ip, H.H.S.2
Chi, Z.3
-
3
-
-
0031990532
-
Constrained learning in neural networks: Application to stable factorization of 2-D polynomials
-
Perantonis S.J., Ampazis N., Varoufakis S., and Antoniou G. Constrained learning in neural networks: Application to stable factorization of 2-D polynomials. Neural Processing Letters 7 (1998) 5-14
-
(1998)
Neural Processing Letters
, vol.7
, pp. 5-14
-
-
Perantonis, S.J.1
Ampazis, N.2
Varoufakis, S.3
Antoniou, G.4
-
4
-
-
2442503670
-
A constructive approach for finding arbitrary roots of polynomials by neural networks
-
Huang D.S. A constructive approach for finding arbitrary roots of polynomials by neural networks. IEEE Transactions on Neural Networks 15 2 (2004) 477-491
-
(2004)
IEEE Transactions on Neural Networks
, vol.15
, Issue.2
, pp. 477-491
-
-
Huang, D.S.1
-
5
-
-
0029403658
-
An efficient constrained learning algorithm for feedforward networks
-
Karras D.A., and Perantonis S.J. An efficient constrained learning algorithm for feedforward networks. IEEE Transactions on Neural Networks 6 (1995) 1420-1434
-
(1995)
IEEE Transactions on Neural Networks
, vol.6
, pp. 1420-1434
-
-
Karras, D.A.1
Perantonis, S.J.2
-
9
-
-
0028543366
-
Training feedforward networks with the marquardt algorithm
-
Hagan M.T., and Menhaj M. Training feedforward networks with the marquardt algorithm. IEEE Transactions on Neural Network 5 6 (1994) 989-993
-
(1994)
IEEE Transactions on Neural Network
, vol.5
, Issue.6
, pp. 989-993
-
-
Hagan, M.T.1
Menhaj, M.2
-
10
-
-
0003126173
-
Improving the Rprop learning algorithm
-
Bothe H., and Rojas R. (Eds), ICSC Academic Press, New York
-
Igel C., and Hiisken M. Improving the Rprop learning algorithm. In: Bothe H., and Rojas R. (Eds). Proceedings of the Second International ICSC Symposium on Neural Computation (NC 2000) (2000), ICSC Academic Press, New York 115-121
-
(2000)
Proceedings of the Second International ICSC Symposium on Neural Computation (NC 2000)
, pp. 115-121
-
-
Igel, C.1
Hiisken, M.2
-
11
-
-
0035419653
-
Adaptive stepsize algorithms for on-line training of neural networks
-
Magoulas G.D., Plagianakos V.P., and Vrahatis M.N. Adaptive stepsize algorithms for on-line training of neural networks. Nonlinear Analysis, Theory, Methods and Applications 47 (2001) 3425-3430
-
(2001)
Nonlinear Analysis, Theory, Methods and Applications
, vol.47
, pp. 3425-3430
-
-
Magoulas, G.D.1
Plagianakos, V.P.2
Vrahatis, M.N.3
-
12
-
-
0031028741
-
Effective backpropagation training with variable stepsize
-
Magoulas G.D., Vrahatis M.N., and Androulakis G.S. Effective backpropagation training with variable stepsize. Neural Networks 10 1 (1997) 69-82
-
(1997)
Neural Networks
, vol.10
, Issue.1
, pp. 69-82
-
-
Magoulas, G.D.1
Vrahatis, M.N.2
Androulakis, G.S.3
-
13
-
-
0033209687
-
Increasing the convergence rate of the error backpropagation algorithm by learning rate adaptation methods
-
Magoulas G.D., Vrahatis M.N., and Androulakis G.S. Increasing the convergence rate of the error backpropagation algorithm by learning rate adaptation methods. Neural Computation 11 7 (1999) 1769-1796
-
(1999)
Neural Computation
, vol.11
, Issue.7
, pp. 1769-1796
-
-
Magoulas, G.D.1
Vrahatis, M.N.2
Androulakis, G.S.3
-
15
-
-
0033899834
-
A class of gradient unconstrained minimization algorithms with adaptive stepsize
-
Vrahatis M.N., Androulakis G.S., Lambrinos J.N., and Magoulas G.D. A class of gradient unconstrained minimization algorithms with adaptive stepsize. J. Comput. Appl. Math. 114 2 (2000) 367-386
-
(2000)
J. Comput. Appl. Math.
, vol.114
, Issue.2
, pp. 367-386
-
-
Vrahatis, M.N.1
Androulakis, G.S.2
Lambrinos, J.N.3
Magoulas, G.D.4
-
18
-
-
0027205884
-
A scaled conjugate gradient algorithm for fast supervised learning
-
Møller M. A scaled conjugate gradient algorithm for fast supervised learning. Neural Networks 6 (1993) 525-533
-
(1993)
Neural Networks
, vol.6
, pp. 525-533
-
-
Møller, M.1
-
19
-
-
0024861871
-
Approximations by superpositions of sigmoidal functions
-
Cybenko G. Approximations by superpositions of sigmoidal functions. Mathematics of Control, Signals, and Systems 2 (1989) 303-314
-
(1989)
Mathematics of Control, Signals, and Systems
, vol.2
, pp. 303-314
-
-
Cybenko, G.1
-
20
-
-
0024880831
-
Multilayer feedforward networks are universal approximators
-
Hornik K. Multilayer feedforward networks are universal approximators. Neural Networks 2 (1989) 359-366
-
(1989)
Neural Networks
, vol.2
, pp. 359-366
-
-
Hornik, K.1
-
21
-
-
0025635525
-
Connectionist nonparametric regression: Multilayer feedforward networks can learn arbitrary mappings
-
White H. Connectionist nonparametric regression: Multilayer feedforward networks can learn arbitrary mappings. Neural Networks 3 (1990) 535-549
-
(1990)
Neural Networks
, vol.3
, pp. 535-549
-
-
White, H.1
-
22
-
-
85011438572
-
Approximation theory of the mlp model in neural networks
-
Pinkus A. Approximation theory of the mlp model in neural networks. Acta Numerica (1999) 143-195
-
(1999)
Acta Numerica
, pp. 143-195
-
-
Pinkus, A.1
-
24
-
-
0036289713
-
On the complexity of isolating real roots and computing with certainty the topological degree
-
Mourrain B., Vrahatis M.N., and Yakoubsohn J.C. On the complexity of isolating real roots and computing with certainty the topological degree. Journal of Complexity 18 2 (2002) 612-640
-
(2002)
Journal of Complexity
, vol.18
, Issue.2
, pp. 612-640
-
-
Mourrain, B.1
Vrahatis, M.N.2
Yakoubsohn, J.C.3
-
25
-
-
21444455822
-
Numerical computation of polynomial zeros by means of Aberth's method
-
Bini D. Numerical computation of polynomial zeros by means of Aberth's method. Numerical Algorithms 13 (1996) 179-200
-
(1996)
Numerical Algorithms
, vol.13
, pp. 179-200
-
-
Bini, D.1
|