Volume: 15 Issue: 3 Date: May 2004

sciencediscussionAI and Robotics

Oct 20, 2013 (3 years and 5 months ago)

72 views

IEEE

TRANSACTIONS ON NEURAL

NETWORKS

Volume: 15

Issue: 3

Date: May
2004



Deterministic design for neural network learning: an approach
based on discrepancy

Cervellera, C.; Muselli, M.

Page(s):


533
-

544


Efficient learning algorithms for three
-
layer re
gular
feedforward fuzzy neural networks

Puyin Liu; Hongxing Li

Page(s):


545
-

558


Nonlinear dynamical factor analysis for state change
detection

Ilin, A.; Valpola, H.; Oja, E.

Page(s):


559
-

575


Generalized regression neural networks in time
-
varying
envi
ronment

Rutkowski, L.

Page(s):


576
-

596


Classification capacity of a modular neural network
implementing neurally inspired architecture and training rules

Poirazi, P.; Neocleous, C.; Pattichis, C.S.; Schizas, C.N.

Page(s):


597
-

612


A novel neural netwo
rk for nonlinear convex programming

Xing
-
Bao Gao

Page(s):


613
-

621


A neural network for a class of convex quadratic minimax
problems with constraints

Xing
-
Bao Gao; Li
-
Zhi Liao; Weimin Xue

Page(s):


622
-

628


Combining expert neural networks using reinfor
cement
feedback for learning primitive grasping behavior

Moussa, M.A.

Page(s):


629
-

638


Cognitive navigation based on nonuniform Gabor space
sampling, unsupervised growing networks, and reinforcement
learning

Arleo, A.; Smeraldi, F.; Gerstner, W.

Page(s)
:


639
-

652


Stable adaptive neurocontrol for nonlinear discrete
-
time
systems

Quanmin Zhu; Lingzhong Guo

Page(s):


653
-

662


Identification and control of a nonlinear discrete
-
time system
based on its linearization: a unified framework

Lingji Chen; Narendr
a, K.S.

Page(s):


663
-

673



Adaptive neural control of uncertain MIMO nonlinear systems

Ge, S.S.; Cong Wang

Page(s):


674
-

692


Robust and adaptive backstepping control for nonlinear
systems using RBF neural networks

Yahui Li; Sheng Qiang; Xianyi Zhuang;
Kaynak, O.

Page(s):


693
-

701


Frequency
-
sensitive competitive learning for scalable
balanced clustering on high
-
dimensional hyperspheres

Banerjee, A.; Ghosh, J.

Page(s):


702
-

719


Analysis of switching dynamics with competing support
vector machines

Ming
-
Wei Chang; Chih
-
Jen Lin; Weng, R.C.
-
H.

Page(s):


720
-

727


Modified ART 2A growing network capable of generating a
fixed number of nodes

Ji He; Ah
-
Hwee Tan; Chew
-
Lim Tan

Page(s):


728
-

737


Using the EM algorithm to train neural networks:
misconceptions a
nd a new algorithm for multiclass
classification

Shu
-
Kay Ng; McLachlan, G.J.

Page(s):


738
-

749


An efficient method for computing leave
-
one
-
out error in
support vector machines with Gaussian kernels

Lee, M.M.S.; Keerthi, S.S.; Chong Jin Ong; DeCoste, D.

P
age(s):


750
-

757


Self
-
organizing nets for optimization

Milano, M.; Koumoutsakos, P.; Schmidhuber, J.

Page(s):


758
-

765


An analog neural network implementation in fixed time of
adjustable
-
order statistic filters and applications

Mestari, M.

Page(s):


76
6
-

785