Jul 29, 2003 · In this paper, a new improved generalized neuron model is proposed, which overcome the drawbacks of conventional neural network by performing ...
The new improved generalized neuron model is proposed, which has both summation and product as aggregation function and which has flexibility at both the ...
Jul 14, 2003 · The generalized neuron models have flexibility at both the aggregation and activation function level to cope with the non-linearity involved in ...
The new improved generalized neuron model is proposed in this work. The proposed neuron models have both summation ( ) and product ( ) as aggregation function.
In this paper the short term load forecasting problem has been formulated to model using artificial neural network model. The existing neural networks have ...
In this paper, we describe a few popular AI-based models that have been used for SSL prediction. ANN, SVM, and NF had overcome each other in different ...
In this paper, a short-term load forecasting realized by a generalized neuron–wavelet method is proposed. The proposed method consists of wavelet transform and ...
The model is also requires only one generalized neuron to model the short term load forecasting problem. EXISTING NEURAL NETWORKS AND. THEIR DRAWBACKS. The ...
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In this paper we present an improved short-term load forecasting technique based on bagged artificial neural networks (BNNs).
Nov 21, 2021 · The hybrid model is based on the combination of historical load and temperature data clustering and embedding in an MLP neural network.