A new evolutionary approach for neural spike detection based on genetic algorithm.
Mohammad Hossein ZarifiaNegar Karimi GhalehjoghMehdi Baradaran NiaPublished in: Expert Syst. Appl. (2015)
Keyphrases
- genetic algorithm
- neural network
- evolutionary computation
- fitness function
- spike trains
- evolutionary algorithm
- detection algorithm
- detection method
- multi objective
- evolutionary computing
- false positives
- network architecture
- evolutionary optimization
- genetic programming
- genetic search
- object detection
- automatic detection
- evolutionary approaches
- detection rate
- fitness evaluation
- false alarms
- artificial neural networks
- detection accuracy
- bio inspired
- particle swarm optimization
- anomaly detection
- evolutionary strategy
- metaheuristic
- population size
- computational intelligence
- evolutionary search
- optimization method
- evolutionary process
- job shop scheduling problem
- mutation operator
- genetic algorithm ga
- multi objective optimization