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If training input points and models are simultaneously optimized, the generalization performance would be further improved.
The design strategy used in the CNNDA was intended to optimize both the generalization ability and the training time of ANNs.
It optimizes the chance for closure.
Letterman even optimizes the interstitial moments for maximum boredom.
Jopwell optimizes the search and hiring process.
Since when all the adjustable parameters had been optimized, the neural network showed high ability of generalization; therefore, the optimized neural network model put forward to predict glucose recovery at predetermined condition by the simplex method.
The bootstrap aggregated extreme learning machine can provide fast learning speed and good generalization performance, which will be used to optimize the CO2 capture process.
However, since the ELM has a problem with validity of the prediction, a genetic algorithm (GA) is exploited to optimize the connection parameters between each network layer to improve the reliability and generalization.
In this sense, it becomes a problem of optimizing the model to fit the boundaries of the examples in the training data and improving the generalization ability of the model.
In this paper we study the generalization of SIRT into Ordered Subsets SIRT and show that this allows one to optimize the computational performance of GPU-accelerated iterative algebraic reconstruction methods.
More recently, generalizations of normalization-type models have proposed that the nervous system adapts to optimize the amount of information transmitted by a sensory system which is limited by noise or the availability of neural resources [10], [31].
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