Mikko Lehtokangas

Publication Activity (10 Years)

Years Active: 1993-2004
Publications (10 Years): 0

Publications

Jani J. T. Lahnajärvi, Mikko Lehtokangas, Jukka Saarinen
Estimating movements of a robotic manipulator by hybrid constructive neural networks. Neurocomputing 56 (2004)
Arto Kantsila, Mikko Lehtokangas, Jukka Saarinen
Complex RPROP-algorithm for neural network equalization of GSM data bursts. Neurocomputing 61 (2004)
Arto Kantsila, Mikko Lehtokangas, Jukka Saarinen
On center locating in RBF network equalization in the GSM system. NNSP (2003)
Arto Kantsila, Mikko Lehtokangas, Jukka Saarinen
On radial basis function network equalization in the GSM system. ESANN (2003)
Eero Huupponen, Sari-Leena Himanen, Alpo Värri, Joel Hasan, Antti Saastamoinen, Mikko Lehtokangas, Jukka Saarinen
Fuzzy detection of EEG alpha without amplitude thresholding. Artif. Intell. Medicine 24 (2) (2002)
Jani J. T. Lahnajärvi, Mikko Lehtokangas, Jukka Saarinen
Evaluation of constructive neural networks with cascaded architectures. Neurocomputing 48 (1-4) (2002)
Vesa Onnia, Vesa Varjonen, Mari Lehtimaki, Mikko Lehtokangas, Jukka Saarinen
Scatter compensation in digital radiography. EUSIPCO (2000)
Mikko Lehtokangas
Fast Learning Using Multilayer Perceptron Networks with Adaptive Centroid Layer. Int. J. Pattern Recognit. Artif. Intell. 14 (2) (2000)
Mikko Lehtokangas
Determining the number of centroids for CMLP network. Neural Networks 13 (4-5) (2000)
Mikko Lehtokangas
Modified cascade-correlation learning for classification. IEEE Trans. Neural Networks Learn. Syst. 11 (3) (2000)
Arto Kantsila, Mikko Lehtokangas, Jukka Saarinen
On equalization with maximum covariance initialized cascade-correlation learning. ISCAS (2000)
Eero Huupponen, Alpo Värri, Joel Hasan, Sari-Leena Himanen, Mikko Lehtokangas, Jukka Saarinen
Comparison of fuzzy reasoning and Autoassociative MLP in sleep spindle detection. EUSIPCO (2000)
Mikko Lehtokangas
Modified constructive backpropagation for regression. Neurocomputing 35 (1-4) (2000)
Taneli Haverinen, Arto Kantsila, Mikko Lehtokangas, Jukka Saarinen
Adaptive channel equalization using classification trees. EUSIPCO (2000)
Mikko Lehtokangas
Pattern recognition with novel support vector machine learning method. EUSIPCO (2000)
Adrian Burian, Marius Tico, Mikko Lehtokangas, Pauli Kuosmanen, Jukka Saarinen
Support vector method for minutiae detection in fingerprint images. EUSIPCO (2000)
Mikko Lehtokangas
On optimal usage of centroid units in CMLP network. IJCNN (1999)
Mikko Harju, Petri Salmela, Olli Viikki, Mikko Lehtokangas, Jukka Saarinen
Robust speaker adaptation of continuous density HMMS using multilayer perceptron network. EUROSPEECH (1999)
Mikko Lehtokangas
Feedforward Neural Network with Adaptive Reference Pattern Layer. Int. J. Neural Syst. 9 (1) (1999)
Mikko Lehtokangas
Inverse PCA method for weight initialization in CMLP network. IJCNN (1999)
Mikko Lehtokangas
Modelling with constructive backpropagation. Neural Networks 12 (4-5) (1999)
Mikko Lehtokangas
Fast initialization for cascade-correlation learning. IEEE Trans. Neural Networks 10 (2) (1999)
Mikko Lehtokangas
Constructive Backpropagation for Recurrent Networks. Neural Process. Lett. 9 (3) (1999)
Mikko Lehtokangas
Time series modelling with recurrent CBP. IJCNN (1999)
Petri Salmela, Mikko Lehtokangas, Jukka Saarinen
Neural Network Based Digit Recognition System for Voice Dialling in Noisy Environments. Inf. Sci. 121 (3-4) (1999)
Mikko Lehtokangas
Adaptive training methods for optimal margin classification. IJCNN (1999)
Mikko Lehtokangas
Improved CBP learning with output bias decomposition. IJCNN (1999)
Hemmo Haverinen, Petri Salmela, Juha Häkkinen, Mikko Lehtokangas, Jukka Saarinen
MLP network for enhancement of noisy MFCC vectors. EUROSPEECH (1999)
Mikko Lehtokangas
On weight initialization in cascade-correlation learning. IJCNN (1999)
Mikko Lehtokangas, Jukka Saarinen
Weight initialization with reference patterns. Neurocomputing 20 (1-3) (1998)
Mikko Lehtokangas
Reference Pattern Weight Initialization for Equalization. IEA/AIE (Vol. 2) (1998)
Mikko Lehtokangas
Fast Training with Maximum Covariance Initialized Centroid MLP. ICONIP (1998)
Mikko Lehtokangas
Initialization of MLP with Adaptive Neuron Specific Preprocessing Units. ICONIP (1998)
Antti Saastamoinen, Timo Pietilä, Alpo Värri, Mikko Lehtokangas, Jukka Saarinen
Waveform detection with RBF network - Application to automated EEG analysis. Neurocomputing 20 (1-3) (1998)
Mikko Lehtokangas, Jukka Saarinen
Centroid based Multilayer Perceptron Networks. Neural Process. Lett. 7 (2) (1998)
Arto Kantsila, Mikko Lehtokangas, Jukka Saarinen
Improved neural network equalization by the use of maximum covariance weight initialization. EUSIPCO (1998)
Xiao Ming Gao, Seppo J. Ovaska, Mikko Lehtokangas, Jukka Saarinen
Modeling of speech signals using an optimal neural network structure based on the PMDL principle. IEEE Trans. Speech Audio Process. 6 (2) (1998)
Petri Salmela, Mikko Lehtokangas, Jukka Saarinen
Noisy Digit Recognition with MLP and HMMS Using Modified Cost Function in MCE Training. ICONIP (1998)
Mikko Lehtokangas
On Training of MLP with Adaptive Neuron Specific Preprocessing Units. ICONIP (1998)
Petri Salmela, Kari Laurila, Mikko Lehtokangas, Jukka Saarinen
Discriminative Isolated Digit Recognition in Noisy Environments Using Multilayer Perceptron Networks. ICONIP (2) (1997)
Seppo Kuusisto, Mikko Lehtokangas, Jukka Saarinen, Kimmo Kaski
Short Term Electric Load Forecasting Using A Neural Network with Fuzzy Hidden Neurons. Neural Comput. Appl. 6 (1) (1997)
Mikko Lehtokangas, Jukka Saarinen, Pentti Huuhtanen, Kimmo Kaski
Predictive minimum description length criterion for time series modeling with neural networks. Neural Comput. 8 (3) (1996)
Mikko Lehtokangas, Petri Korpisaari, Kimmo Kaski
Maximum covariance method for weight initialization of multilayer perceptron network. ESANN (1996)
Mikko Lehtokangas, Jukka Saarinen, Kimmo Kaski
Simplified cascade-correlation learning. ESANN (1995)
Mikko Lehtokangas, Jukka Saarinen, Kimmo Kaski
Accelerating training of radial basis function networks with Cascade-Correlation algorithm. Neurocomputing 9 (2) (1995)
Mikko Lehtokangas, Jukka Saarinen, Kimmo Kaski, Pentti Huuhtanen
Initializing Weights of a Multilayer Perceptron Network by Using the Orthogonal Least Squares Algorithm. Neural Comput. 7 (5) (1995)
Mikko Lehtokangas, Jukka Saarinen, Kimmo Kaski
Fine-tuning Cascade-Correlation trained feedforward network with backpropagation. Neural Process. Lett. 2 (2) (1995)
Mikko Lehtokangas, Jukka Saarinen, Pentti Huuhtanen, Kimmo Kaski
Neural Network Optimization Tool Based on Predictive MDL Principle for Time Series Prediction. ICTAI (1993)