OFDM Multiple Antennas Cognitive Radio Relay CDMA Synchronization Channel Estimation Spectrum Sharing Interference Cancellation Resource Allocation Spectrum Sensing Neural Networks Full duplex Stochastic Geometry Equalizer Bi-Directional Feedback Energy Harvesting Heterogeneous Networks Femtocell Device-to-Device (D2D) Idle cells Cross-link interference FBMC Spectral efficiency Cell Search SINR mismatch problem NOMA Ultra-dense small cell networks HetNet interference management Dynamic TDD outage probability selection diversity achievable sum rate bursty traffic model Cognitive relay networks mode selection multi-spectral 5G Complexity Singular Vale Decomposition OQAM tabu-search Filtered OFDM TDD configuration flexible duplex Handoff GFDM Heterogeneous channel estimation capability self-interference cancellation in-band full-duplex system Channel estimation error coexistence CP-OFDM MU-MIMO automatic repeat request (ARQ) Two-way communications UWB full-duplex relay full-duplex cellular Simultaneous Sensing and Transmission Correlated MIMO transmission capacity (TC) sensing duration Bi-directional full-duplex Vehicle-to-Vehicle prototype filter pilot signal Coexistence scenarios resource size control Vehicle-to-vehicle communication link reliability interference to noise ratio eigen decomposition TS-W-OFDM Resource management Cooperative systems LTE-based V2V Aggregate interference time-frequency efficiency mixed numerology Windowing Reliability C-V2V Asynchronous Transmission Full-duplex Computation offloading Grant-free Transmission Preamble full-spreading NOMA massive connectivity Edge computing Multiple access MLP Deep learning Railway Mobility interference mitigation HST non-orthogonal multiple access
Status : Published 
Date : 2004-10 
Title : Decision Boundary Formation of Neural Networks 
Authors : Chulhee Lee, E. Jung, O. Kwon, M. Park and Daesik Hong 
Journal : World Scientific and Engineering Academy and Society Transaction on Computers 
Abstract : In this paper, we provide a thorough analysis of decision boundaries of neural networks when they are
used as a classifier. First, we divide the classifying mechanism of the neural network into two parts: dimension
expansion by hidden neurons and linear decision boundary formation by output neurons. In this paradigm, the input
data is first warped into a higher dimensional space by the hidden neurons and the output neurons draw linear
decision boundaries in the expanded space (hidden neuron space). We also found that the decision boundaries in
the hidden neuron space are not completely independent. This dependency of decision boundaries is extended to
multiclass problems, providing a valuable insight into formation of decision boundaries in the hidden neuron space.
This analysis provides a new understanding of how neural networks construct complex decision boundaries and
explains how different sets of weights may provide similar results. 
List of Articles
No.
Statussort Date
9 [Other Journals] Yonghyeon Shin, Sungwoo Weon, Daesik Hong, and Ilgu Yun, "Analytical Model for Junctionless Double-Gate FET in Subthreshold Region", IEEE Trans. on Electron Devices, Apr. 2017 file Published  2017-04 
8 [Other Journals] Sangho Nam, Sungmook Lim. Kyunbyong Ko, Daesik Hong, "A New Multistage Whitener-Based Detector for MIMO Systems", Wireless Personal Comm., Nov. 2011 file Published  2011-11 
7 [Other Journals] Hano Wang, Gosan Noh, Dongkyu Kim, Sungtae Kim and Daesik Hong, "Advanced Sensing Techniques of Energy Detection in Cognitive Radios", Journal of Comm. and Networks, Feb 2010 Published  2010-02 
6 [Other Journals] Hyunkyu Yu, Youngju Kim, Takki Yu, Sungmook Lim, and Daesik Hong, "A New Preamble-based Cell Search Algorithm for Asynchronous MC-CDMA Systems", Int'l Journal of Elec. and Comm., Aug 2008 Published  2008-08 
5 [Other Journals] Myeongsu Han, Sungeun Lee, Sangmin Ro, Junghyun Kim, Takki Yu, Seungyoup Han and Daesik Hong, "Cooperative Diversity Performance for OFDM Transmission over Partially Jammed Channels", Int'l Journal of Elec. and Comm., July 2007 Published  2007-07 
4 [Other Journals] Sooyong Choi, Tewon Lee and Daesik Hong, "Adaptive error-constrained method for LMS algorithms and applications", Elsevier Science Signal Processing, Oct 2005 Published  2005-10 
» [Other Journals] Chulhee Lee, E. Jung, O. Kwon, M. Park and Daesik Hong, "Decision Boundary Formation of Neural Networks", WSEAS Trans. Computers, Oct 2004 Published  2004-10 
2 [Other Journals] Intae Hwang, T. Jang, M. Kang, S. No, J. Son, Daesik Hong and Changeon Kang, "Performance analysis of adaptive modulation and coding combined with transmit diversity in next generation mobile communication systems", Elsevier Science FGCS, Feb 2004 Published  2004-02 
1 [Other Journals] Sangmin Ro, Intae Hwang, Daesik Hong, Changeon Kang and Mingoo Kang, "Adaptive Modulation and Coding of MIMO in Next Generation Mobile Systems", ICCSA 2003 Published  2003-08