Neural Network Optimization Tool Based on Predictive MDL Principle for Time Series Prediction. - Mikko Lehtokangas; Jukka Saarinen; Pentti Huuhtanen; Kimmo Kaski (ICTAI, 1993)

Simplified cascade-correlation learning. - Mikko Lehtokangas; Jukka Saarinen; Kimmo Kaski (ESANN, 1995)

Accelerating training of radial basis function networks with Cascade-Correlation algorithm. - Mikko Lehtokangas; Jukka Saarinen; Kimmo Kaski (Neurocomputing, 1995)

Initializing Weights of a Multilayer Perceptron Network by Using the Orthogonal Least Squares Algorithm. - Mikko Lehtokangas; Jukka Saarinen; Kimmo Kaski; Pentti Huuhtanen (Neural Comput., 1995)

Fine-tuning Cascade-Correlation trained feedforward network with backpropagation. - Mikko Lehtokangas; Jukka Saarinen; Kimmo Kaski (Neural Process. Lett., 1995)

Maximum covariance method for weight initialization of multilayer perceptron network. - Mikko Lehtokangas; Petri Korpisaari; Kimmo Kaski (ESANN, 1996)

Predictive minimum description length criterion for time series modeling with neural networks. - Mikko Lehtokangas; Jukka Saarinen; Pentti Huuhtanen; Kimmo Kaski (Neural Comput., 1996)

Discriminative Isolated Digit Recognition in Noisy Environments Using Multilayer Perceptron Networks. - Petri Salmela; Kari Laurila; Mikko Lehtokangas; Jukka Saarinen (ICONIP (2), 1997)

Short Term Electric Load Forecasting Using A Neural Network with Fuzzy Hidden Neurons. - Seppo Kuusisto; Mikko Lehtokangas; Jukka Saarinen; Kimmo Kaski (Neural Comput. Appl., 1997)

Weight initialization techniques. - Mikko Lehtokangas; Jukka Saarinen; Petri Salmela; Kimmo Kaski (Algorithms and Architectures, 1998)

Improved neural network equalization by the use of maximum covariance weight initialization. - Arto Kantsila; Mikko Lehtokangas; Jukka Saarinen (EUSIPCO, 1998)

Fast Training with Maximum Covariance Initialized Centroid MLP. - Mikko Lehtokangas (ICONIP, 1998)

On Training of MLP with Adaptive Neuron Specific Preprocessing Units. - Mikko Lehtokangas (ICONIP, 1998)

Initialization of MLP with Adaptive Neuron Specific Preprocessing Units. - Mikko Lehtokangas (ICONIP, 1998)

Noisy Digit Recognition with MLP and HMMS Using Modified Cost Function in MCE Training. - Petri Salmela; Mikko Lehtokangas; Jukka Saarinen (ICONIP, 1998)

Reference Pattern Weight Initialization for Equalization. - Mikko Lehtokangas (IEA/AIE (Vol. 2), 1998)

Weight initialization with reference patterns. - Mikko Lehtokangas; Jukka Saarinen (Neurocomputing, 1998)

Waveform detection with RBF network - Application to automated EEG analysis. - Antti Saastamoinen; Timo Pietilä; Alpo Värri; Mikko Lehtokangas; Jukka Saarinen (Neurocomputing, 1998)

Centroid based Multilayer Perceptron Networks. - Mikko Lehtokangas; Jukka Saarinen (Neural Process. Lett., 1998)

Modeling of speech signals using an optimal neural network structure based on the PMDL principle. - Xiao Ming Gao; Seppo J. Ovaska; Mikko Lehtokangas; Jukka Saarinen (IEEE Trans. Speech Audio Process., 1998)

Inverse PCA method for weight initialization in CMLP network. - Mikko Lehtokangas (IJCNN, 1999)

Adaptive training methods for optimal margin classification. - Mikko Lehtokangas (IJCNN, 1999)

On weight initialization in cascade-correlation learning. - Mikko Lehtokangas (IJCNN, 1999)

On optimal usage of centroid units in CMLP network. - Mikko Lehtokangas (IJCNN, 1999)

Improved CBP learning with output bias decomposition. - Mikko Lehtokangas (IJCNN, 1999)

Time series modelling with recurrent CBP. - Mikko Lehtokangas (IJCNN, 1999)

Robust speaker adaptation of continuous density HMMS using multilayer perceptron network. - Mikko Harju; Petri Salmela; Olli Viikki; Mikko Lehtokangas; Jukka Saarinen (EUROSPEECH, 1999)

MLP network for enhancement of noisy MFCC vectors. - Hemmo Haverinen; Petri Salmela; Juha Häkkinen; Mikko Lehtokangas; Jukka Saarinen (EUROSPEECH, 1999)

Feedforward Neural Network with Adaptive Reference Pattern Layer. - Mikko Lehtokangas (Int. J. Neural Syst., 1999)

Neural Network Based Digit Recognition System for Voice Dialling in Noisy Environments. - Petri Salmela; Mikko Lehtokangas; Jukka Saarinen (Inf. Sci., 1999)

Modelling with constructive backpropagation. - Mikko Lehtokangas (Neural Networks, 1999)

Constructive Backpropagation for Recurrent Networks. - Mikko Lehtokangas (Neural Process. Lett., 1999)

Fast initialization for cascade-correlation learning. - Mikko Lehtokangas (IEEE Trans. Neural Networks, 1999)

Support vector method for minutiae detection in fingerprint images. - Adrian Burian; Marius Tico; Mikko Lehtokangas; Pauli Kuosmanen; Jukka Saarinen (EUSIPCO, 2000)

Adaptive channel equalization using classification trees. - Taneli Haverinen; Arto Kantsila; Mikko Lehtokangas; Jukka Saarinen (EUSIPCO, 2000)

Comparison of fuzzy reasoning and Autoassociative MLP in sleep spindle detection. - Eero Huupponen; Alpo Värri; Joel Hasan; Sari-Leena Himanen; Mikko Lehtokangas; Jukka Saarinen (EUSIPCO, 2000)

Pattern recognition with novel support vector machine learning method. - Mikko Lehtokangas (EUSIPCO, 2000)

Scatter compensation in digital radiography. - Vesa Onnia; Vesa Varjonen; Mari Lehtimaki; Mikko Lehtokangas; Jukka Saarinen (EUSIPCO, 2000)

On equalization with maximum covariance initialized cascade-correlation learning. - Arto Kantsila; Mikko Lehtokangas; Jukka Saarinen (ISCAS, 2000)

Modified constructive backpropagation for regression. - Mikko Lehtokangas (Neurocomputing, 2000)

Fast Learning Using Multilayer Perceptron Networks with Adaptive Centroid Layer. - Mikko Lehtokangas (Int. J. Pattern Recognit. Artif. Intell., 2000)

Determining the number of centroids for CMLP network. - Mikko Lehtokangas (Neural Networks, 2000)

Modified cascade-correlation learning for classification. - Mikko Lehtokangas (IEEE Trans. Neural Networks Learn. Syst., 2000)

Fuzzy detection of EEG alpha without amplitude thresholding. - Eero Huupponen; Sari-Leena Himanen; Alpo Värri; Joel Hasan; Antti Saastamoinen; Mikko Lehtokangas; Jukka Saarinen (Artif. Intell. Medicine, 2002)

Evaluation of constructive neural networks with cascaded architectures. - Jani J. T. Lahnajärvi; Mikko Lehtokangas; Jukka Saarinen (Neurocomputing, 2002)

On radial basis function network equalization in the GSM system. - Arto Kantsila; Mikko Lehtokangas; Jukka Saarinen (ESANN, 2003)

On center locating in RBF network equalization in the GSM system. - Arto Kantsila; Mikko Lehtokangas; Jukka Saarinen (NNSP, 2003)

Complex RPROP-algorithm for neural network equalization of GSM data bursts. - Arto Kantsila; Mikko Lehtokangas; Jukka Saarinen (Neurocomputing, 2004)

Estimating movements of a robotic manipulator by hybrid constructive neural networks. - Jani J. T. Lahnajärvi; Mikko Lehtokangas; Jukka Saarinen (Neurocomputing, 2004)