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ORCIDMikko Lehtokangas
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2000 – 2009
- 2004
[j22]Jani J. T. Lahnajärvi, Mikko Lehtokangas, Jukka Saarinen:
Estimating movements of a robotic manipulator by hybrid constructive neural networks. Neurocomputing 56: 345-363 (2004)- [j21]Arto Kantsila, Mikko Lehtokangas, Jukka Saarinen:
Complex RPROP-algorithm for neural network equalization of GSM data bursts. Neurocomputing 61: 339-360 (2004) - 2003
- [c26]Arto Kantsila, Mikko Lehtokangas, Jukka Saarinen:
On radial basis function network equalization in the GSM system. ESANN 2003: 179-184 - [c25]Arto Kantsila, Mikko Lehtokangas, Jukka Saarinen:
On center locating in RBF network equalization in the GSM system. NNSP 2003: 575-584 - 2002
- [j20]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): 133-147 (2002) - [j19]Jani J. T. Lahnajärvi, Mikko Lehtokangas, Jukka Saarinen:
Evaluation of constructive neural networks with cascaded architectures. Neurocomputing 48(1-4): 573-607 (2002) - 2000
- [j18]Mikko Lehtokangas:
Modified constructive backpropagation for regression. Neurocomputing 35(1-4): 113-122 (2000) - [j17]Mikko Lehtokangas:
Fast Learning Using Multilayer Perceptron Networks with Adaptive Centroid Layer. Int. J. Pattern Recognit. Artif. Intell. 14(2): 211-224 (2000) - [j16]Mikko Lehtokangas:
Determining the number of centroids for CMLP network. Neural Networks 13(4-5): 525-531 (2000) - [j15]Mikko Lehtokangas:
Modified cascade-correlation learning for classification. IEEE Trans. Neural Networks Learn. Syst. 11(3): 795-798 (2000) - [c24]Adrian Burian, Marius Tico, Mikko Lehtokangas, Pauli Kuosmanen, Jukka Saarinen:
Support vector method for minutiae detection in fingerprint images. EUSIPCO 2000: 1-4 - [c23]Taneli Haverinen, Arto Kantsila, Mikko Lehtokangas, Jukka Saarinen:
Adaptive channel equalization using classification trees. EUSIPCO 2000: 1-4 - [c22]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: 1-4 - [c21]Mikko Lehtokangas:
Pattern recognition with novel support vector machine learning method. EUSIPCO 2000: 1-4 - [c20]Vesa Onnia, Vesa Varjonen, Mari Lehtimaki, Mikko Lehtokangas, Jukka Saarinen:
Scatter compensation in digital radiography. EUSIPCO 2000: 1-4 - [c19]Arto Kantsila, Mikko Lehtokangas, Jukka Saarinen:
On equalization with maximum covariance initialized cascade-correlation learning. ISCAS 2000: 168-171
1990 – 1999
- 1999
- [j14]Mikko Lehtokangas:
Feedforward Neural Network with Adaptive Reference Pattern Layer. Int. J. Neural Syst. 9(1): 1-9 (1999) - [j13]Petri Salmela, Mikko Lehtokangas, Jukka Saarinen:
Neural Network Based Digit Recognition System for Voice Dialling in Noisy Environments. Inf. Sci. 121(3-4): 171-199 (1999) - [j12]Mikko Lehtokangas:
Modelling with constructive backpropagation. Neural Networks 12(4-5): 707-716 (1999) - [j11]Mikko Lehtokangas:
Constructive Backpropagation for Recurrent Networks. Neural Process. Lett. 9(3): 271-278 (1999) - [j10]Mikko Lehtokangas:
Fast initialization for cascade-correlation learning. IEEE Trans. Neural Networks 10(2): 410-414 (1999) - [c18]Mikko Lehtokangas:
Inverse PCA method for weight initialization in CMLP network. IJCNN 1999: 878-881 - [c17]Mikko Lehtokangas:
Adaptive training methods for optimal margin classification. IJCNN 1999: 1415-1418 - [c16]Mikko Lehtokangas:
On weight initialization in cascade-correlation learning. IJCNN 1999: 1471-1474 - [c15]Mikko Lehtokangas:
On optimal usage of centroid units in CMLP network. IJCNN 1999: 1604-1607 - [c14]Mikko Lehtokangas:
Improved CBP learning with output bias decomposition. IJCNN 1999: 1706-1709 - [c13]Mikko Lehtokangas:
Time series modelling with recurrent CBP. IJCNN 1999: 2560-2563 - [c12]Hemmo Haverinen, Petri Salmela, Juha Häkkinen, Mikko Lehtokangas, Jukka Saarinen:
MLP network for enhancement of noisy MFCC vectors. EUROSPEECH 1999: 2371-2374 - [c11]Mikko Harju, Petri Salmela, Olli Viikki, Mikko Lehtokangas, Jukka Saarinen:
Robust speaker adaptation of continuous density HMMS using multilayer perceptron network. EUROSPEECH 1999: 2499-2502 - 1998
- [j9]Antti Saastamoinen, Timo Pietilä, Alpo Värri, Mikko Lehtokangas, Jukka Saarinen:
Waveform detection with RBF network - Application to automated EEG analysis. Neurocomputing 20(1-3): 1-13 (1998) - [j8]Mikko Lehtokangas, Jukka Saarinen:
Weight initialization with reference patterns. Neurocomputing 20(1-3): 265-278 (1998) - [j7]Mikko Lehtokangas, Jukka Saarinen:
Centroid based Multilayer Perceptron Networks. Neural Process. Lett. 7(2): 101-106 (1998) - [j6]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): 177-180 (1998) - [c10]Arto Kantsila, Mikko Lehtokangas, Jukka Saarinen:
Improved neural network equalization by the use of maximum covariance weight initialization. EUSIPCO 1998: 1-4 - [c9]Petri Salmela, Mikko Lehtokangas, Jukka Saarinen:
Noisy Digit Recognition with MLP and HMMS Using Modified Cost Function in MCE Training. ICONIP 1998: 1118-1121 - [c8]Mikko Lehtokangas:
Fast Training with Maximum Covariance Initialized Centroid MLP. ICONIP 1998: 1385-1388 - [c7]Mikko Lehtokangas:
On Training of MLP with Adaptive Neuron Specific Preprocessing Units. ICONIP 1998: 1567-1570 - [c6]Mikko Lehtokangas:
Initialization of MLP with Adaptive Neuron Specific Preprocessing Units. ICONIP 1998: 1571-1574 - [c5]Mikko Lehtokangas:
Reference Pattern Weight Initialization for Equalization. IEA/AIE (Vol. 2) 1998: 574-581 - [p1]Mikko Lehtokangas, Jukka Saarinen, Petri Salmela, Kimmo Kaski:
Weight initialization techniques. Algorithms and Architectures 1998: 87-121 - 1997
- [j5]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): 42-56 (1997) - [c4]Petri Salmela, Kari Laurila, Mikko Lehtokangas, Jukka Saarinen:
Discriminative Isolated Digit Recognition in Noisy Environments Using Multilayer Perceptron Networks. ICONIP (2) 1997: 1116-1119 - 1996
- [j4]Mikko Lehtokangas, Jukka Saarinen, Pentti Huuhtanen, Kimmo Kaski:
Predictive minimum description length criterion for time series modeling with neural networks. Neural Comput. 8(3): 583-593 (1996) - [c3]Mikko Lehtokangas, Petri Korpisaari, Kimmo Kaski:
Maximum covariance method for weight initialization of multilayer perceptron network. ESANN 1996 - 1995
- [j3]Mikko Lehtokangas, Jukka Saarinen, Kimmo Kaski:
Accelerating training of radial basis function networks with Cascade-Correlation algorithm. Neurocomputing 9(2): 207-213 (1995) - [j2]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): 982-999 (1995) - [j1]Mikko Lehtokangas, Jukka Saarinen, Kimmo Kaski:
Fine-tuning Cascade-Correlation trained feedforward network with backpropagation. Neural Process. Lett. 2(2): 10-12 (1995) - [c2]Mikko Lehtokangas, Jukka Saarinen, Kimmo Kaski:
Simplified cascade-correlation learning. ESANN 1995 - 1993
- [c1]Mikko Lehtokangas, Jukka Saarinen, Pentti Huuhtanen, Kimmo Kaski:
Neural Network Optimization Tool Based on Predictive MDL Principle for Time Series Prediction. ICTAI 1993: 338-342
Coauthor Index
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