Tsinghua Science & Technology · 2011 · 11 citations · 12 references
ComputingComputer ScienceArtificial IntelligenceMachine LearningDiagnosisDiagnosticsFault DetectionImmune SystemNeural NetworksActivation FunctionsArtificial Immune SystemsFault Detection Using Machine LearningFeedforward Neural NetworksMachine Learning For Fault DetectionMachine Learning-based DiagnosisNeural Network-based DiagnosisWater Quality Monitoring
An immune algorithm-based approach was developed to optimize a feedforward neural network. The network architecture, activation functions, and training method were encoded as individuals with an appropriate method for individual selection. The immune feedforward neural network is then applied to fault detection of water quality monitoring equipment. This gives better performance than a feedforward neural network.
12
Parallel & distributed processing
Philipp Slusallek, Peter Shirley, William R. Mark et al. · 2005 · 2.6K citations