62 search results - page 6 / 13 » Convergence analysis of convex incremental neural networks |
JMLR
2006
13 years 7 months ago
2006
This paper introduces a learning method for two-layer feedforward neural networks based on sensitivity analysis, which uses a linear training algorithm for each of the two layers....
ALIFE
2006
13 years 7 months ago
2006
This paper investigates the evolution of autonomous agents that solve a memorydependent counting task. Two types of neurocontrollers are evolved: networks of McCulloch-Pitts neuro...
IJCAI
1997
13 years 8 months ago
1997
Max and min operations have interesting properties that facilitate the exchange of information between the symbolic and real-valued domains. As such, neural networks that employ m...
BC
2006
13 years 7 months ago
2006
Recruitment learning in hierarchies is an inherently unstable process (Valiant, 1994). This paper presents conditions on parameters for a feedforward network to ensure stable recru...
ICASSP
2010
IEEE
13 years 7 months ago
2010
IEEE
Efficient design of wireless networks requires implementation of cross-layer algorithms that exploit channel state information. Capitalizing on convex optimization and stochastic...