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NIPS
1996
14 years 5 days ago
Combining Neural Networks and Context-Driven Search for On-Line, Printed Handwriting Recognition in the Newton
While on-line handwriting recognition is an area of long-standing and ongoing research, the recent emergence of portable, pen-based computers has focused urgent attention on usabl...
Larry S. Yaeger, Brandyn J. Webb, Richard F. Lyon
ICRA
1998
IEEE
142views Robotics» more  ICRA 1998»
14 years 3 months ago
Lagrangian Relaxation Neural Networks for Job Shop Scheduling
Abstract--Manufacturing scheduling is an important but difficult task. In order to effectively solve such combinatorial optimization problems, this paper presents a novel Lagrangia...
Peter B. Luh, Xing Zhao, Yajun Wang
ICASSP
2011
IEEE
13 years 2 months ago
Arccosine kernels: Acoustic modeling with infinite neural networks
Neural networks are a useful alternative to Gaussian mixture models for acoustic modeling; however, training multilayer networks involves a difficult, nonconvex optimization that...
Chih-Chieh Cheng, Brian Kingsbury
IJCSA
2007
213views more  IJCSA 2007»
13 years 10 months ago
Adaptive Depth Control for Autonomous Underwater Vehicles Based on Feedforward Neural Networks
This paper studies the design and application of the neural network based adaptive control scheme for autonomous underwater vehicle's (AUV's) depth control system that i...
Yang Shi, Weiqi Qian, Weisheng Yan, Jun Li
IJCNN
2007
IEEE
14 years 5 months ago
Daily Load Forecasting Using Quick Propagation Neural Network with a Special Holiday Encoding
— In the last decade, neural networks have been applied in Daily Load Forecasting. Nevertheless, two main problems are still present for using neural networks in this domain: fi...
Ivan Aquino, Cesar Oswaldo Perez Pinche, Jacquelin...