Improving the Quantification of Highly Overlapping Chromatographic Peaks by Using Product Unit Neural Networks Modeled by an Evolutionary Algorithm.
César Hervás-MartínezAlfonso Carlos Martínez-EstudilloManuel SilvaJuan Manuel SerranoPublished in: J. Chem. Inf. Model. (2005)
Keyphrases
- evolutionary algorithm
- neural network
- genetic algorithm
- multi objective
- optimization problems
- evolutionary computation
- pattern recognition
- differential evolution
- self organizing maps
- artificial neural networks
- multi objective optimization
- evolutionary strategy
- mutation operator
- genetic programming
- back propagation
- fitness function
- neural nets
- simulated annealing
- fuzzy logic
- multi layer
- genetic operators
- life cycle
- hough transform
- function optimization
- multilayer perceptron
- production planning
- feed forward
- neural network model
- evolutionary process
- product quality
- reinforcement learning
- quantum evolutionary algorithm