Nov 17, 2009 · Negative correlation learning (NCL) is a neural network ensemble learning algorithm that introduces a correlation penalty term to the cost ...

The paper analyzes this problem and proposes the regularized negative correlation learning (RNCL) algorithm which incorporates an additional regularization term ...

This paper analyzes NCL and reveals that the training of NCL corresponds to training the entire ensemble as a single learning machine that only minimizes ...

Negative correlation learning (NCL) is a neural network ensemble learning algorithm that introduces a correlation penalty term to the cost function of each ...

Negative correlation learning (NCL) is a neural network ensemble learning algorithm that introduces a correlation penalty term to the cost function of each ...

The paper analyzes this problem and proposes the multiobjective regularized negative correlation learning (MRNCL) algorithm which incorporates an additional ...

Oct 22, 2024 · The paper analyzes this problem and proposes the multiobjective regularized negative correlation learning (MRNCL) algorithm which incorporates ...

Abstract. Recurrent Neural Networks (RNNs) and their variants (such as LSTMs and GRUs) have been remarkably successful at machine-learning tasks on diverse ...

This paper proposes the multiobjective regularized Negative Correlation Learning (MRNCL) algorithm which incorporates an additional regularization term for the ...

The paper analyzes this problem and proposes the multiobjective regularized negative correlation learning (MRNCL) algorithm which incorporates an additional ...