fXOR fuzzy logic networks

fXOR fuzzy logic networks

The study introduces a new class of fuzzy neurons and fuzzy neural networks exploiting a model of a generalized multivalued exclusive-OR (XOR) operation. The proposed neural architecture is useful in an algebraic representation (description) of fuzzy functions regarded as mappings between unit hypercubes, say [0,1] [0,1]. Some underlying properties of the fXOR neurons are discussed and a detail...

cluster-head election in wireless sensor networks using fuzzy logic

a wireless sensor network consists of many inexpensive sensor nodes that can be used toconfidently extract data from the environment .nodes are organized into clusters and in each cluster all non-cluster nodes transmit their data only to the cluster-head .the cluster-head transmits all received data to the base station .because of energy limitation in sensor nodes and energy reduction in each d...

Modeling Gene Networks using Fuzzy Logic

Recently, almost uncontrolled technological progress allows so called high-throughput data collection for sophisticated and complex experimental biological systems analysis. Especially, it concerns the whole cellular genome. Therefore it becomes more and more vital to suggest and elaborate gene network models, which can be used for more complete interpretation of large and complex data sets. Th...

A Novel Fuzzy Logic Base Scheduling Mechanism for Service Differentiation in IP Networks

Quality of Service (QoS) refers to a set of rules or techniques that help the network administrators use the available network resources optimally to manage the effects of congestion and to treat the applications according to their needs. The differentiated services architecture (DiffServ) allows providing quality of service to users. The major DiffServ premise is that individual flows with sim...

Fuzzy Logic and Neuro-Fuzzy Networks for Environmental Hazard Assessment