M. Lehtokangas

发表

Time Series Prediction with Multilayer Perception, FIR and Elman Neural Networks

Jukka Saarinen, Kimmo Kaski, Mikko Lehtokangas, 1996 .

A network of autoregressive processing units for time series modeling

Jukka Saarinen, Kimmo Kaski, Mikko Lehtokangas, 1996 .

Nonsymmetric Backpropagation for Growing and Pruning of Feedforward Neural Networks

M. Lehtokangas, 2000 .

On Evolutionary Programming for Channel Equalization

M. Lehtokangas, J. Saarinen, A. Burian, 2001 .

Simplified cascade-correlation learning

Jukka Saarinen, Kimmo Kaski, Mikko Lehtokangas, 1995, ESANN.

Discriminative Isolated Digit Recognition in Noisy Environments Using Multilayer Perceptron Networks

Jukka Saarinen, Mikko Lehtokangas, Kari Laurila, 1997, ICONIP.

Noisy Digit Recognition with MLP and HMMS Using Modified Cost Function in MCE Training

Jukka Saarinen, Mikko Lehtokangas, Petri Salmela, 1998, ICONIP.

Scatter compensation in digital radiography

Jukka Saarinen, Vesa Onnia, Mikko Lehtokangas, 2000, 2000 10th European Signal Processing Conference.

Weight Initialization Techniques in Neural Network Systems and Their Application

Jukka Saarinen, Kimmo Kaski, Mikko Lehtokangas, 1997 .

Predictive Minimum Description Length Criterion for Time Series Modeling with Neural Networks

Jukka Saarinen, Kimmo Kaski, Mikko Lehtokangas, 1996, Neural Computation.

Evaluation of constructive neural networks with cascaded architectures

Jukka Saarinen, Mikko Lehtokangas, Jani J. T. Lahnajärvi, 2002, Neurocomputing.

Burst Adaptive Equalization of Binary Data

Jukka Saarinen, Mikko Lehtokangas, Arto Kantsila, 1999 .

Initializing Weights of a Multilayer Perceptron Network by Using the Orthogonal Least Squares Algorithm

Jukka Saarinen, Kimmo Kaski, Mikko Lehtokangas, 1995, Neural Computation.

Estimating movements of a robotic manipulator by hybrid constructive neural networks

Jukka Saarinen, Mikko Lehtokangas, Jani J. T. Lahnajärvi, 2004, Neurocomputing.

Fuzzy detection of EEG alpha without amplitude thresholding

Jukka Saarinen, Alpo Värri, Joel Hasan, 2002, Artif. Intell. Medicine.

EEG alpha activity detection by fuzzy reasoning

M. Lehtokangas, J. Saarinen, A. Varri, 2001, Proceedings Joint 9th IFSA World Congress and 20th NAFIPS International Conference (Cat. No. 01TH8569).

Optimization of sigma amplitude threshold in sleep spindle detection

M. Lehtokangas, E. Huupponen, A. Värri, 2000, Journal of sleep research.

Weight initialization with reference patterns

Jukka Saarinen, Mikko Lehtokangas, M. Lehtokangas, 1998, Neurocomputing.

Reference Pattern Weight Initialization for Equalization

Mikko Lehtokangas, M. Lehtokangas, 1998, IEA/AIE.

Weight initialization techniques

Kimmo Kaski, Mikko Lehtokangas, Petri Salmela, 1998, Algorithms and Architectures.

Fast initialization for cascade-correlation learning

Mikko Lehtokangas, M. Lehtokangas, 1999, IEEE Trans. Neural Networks.

A Study on Gender and Age Differences in Sleep Spindles

Jukka Saarinen, Alpo Värri, Joel Hasan, 2002, Neuropsychobiology.

Adaptive channel equalization using classification trees

Jukka Saarinen, Mikko Lehtokangas, Arto Kantsila, 2000, 2000 10th European Signal Processing Conference.

Improved neural network equalization by the use of maximum covariance weight initialization

Jukka Saarinen, Mikko Lehtokangas, Arto Kantsila, 1998, 9th European Signal Processing Conference (EUSIPCO 1998).

Modified cascade-correlation learning for classification

Mikko Lehtokangas, M. Lehtokangas, 2000, IEEE Trans. Neural Networks Learn. Syst..

Neural Network Based Digit Recognition System for Voice Dialling in Noisy Environments

Jukka Saarinen, Mikko Lehtokangas, Petri Salmela, 1999, Inf. Sci..

Biomedical applications of radial basis function networks

Jukka Saarinen, Alpo Värri, Antti Saastamoinen, 2001 .