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ISNN
2010
Springer
15 years 4 months ago
Particle Swarm Optimization Based Learning Method for Process Neural Networks
Abstract. This paper proposes a new learning method for process neural networks (PNNs) based on the Gaussian mixture functions and particle swarm optimization (PSO), called PSO-LM....
Kun Liu, Ying Tan, Xingui He
ACMMSP
2004
ACM
91views Hardware» more  ACMMSP 2004»
15 years 11 months ago
An empirical performance analysis of commodity memories in commodity servers
This work details a performance study of six different types of commodity memories in two commodity server nodes. A number of micro-benchmarks are used that measure low-level perf...
Darren J. Kerbyson, Michael Lang 0003, Gene Patino...
ICWS
2009
IEEE
16 years 3 months ago
Scalable and Reliable Location Services through Decentralized Replication
—One of the critical challenges for service oriented computing systems is the capability to guarantee scalable and reliable service provision. This paper presents Reliable GeoGri...
Gong Zhang, Ling Liu, Sangeetha Seshadri, Bhuvan B...
CIDR
2009
145views Algorithms» more  CIDR 2009»
15 years 7 months ago
Continuous Analytics: Rethinking Query Processing in a Network-Effect World
Modern data analysis applications driven by the Network Effect are pushing traditional database and data warehousing technologies beyond their limits due to their massively increa...
Michael J. Franklin, Sailesh Krishnamurthy, Neil C...
JSAC
2010
194views more  JSAC 2010»
15 years 4 months ago
Burst communication by means of buffer allocation in body sensor networks: Exploiting signal processing to reduce the number of
Abstract—Monitoring human movements using wireless sensory devices promises to revolutionize the delivery of healthcare services. Such platforms use inertial information of their...
Hassan Ghasemzadeh, Vitali Loseu, Sarah Ostadabbas...