Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: A Multiresolution-based BiLinear Recurrent Neural Network (MBLRNN) is proposed in this paper. The proposed M-BLRNN is based on the BLRNN that has been proven to have robust abilities in modeling and predicting time series. The learning process is further improved by using a multiresolution-based learning algorithm for training the BLRNN so as to make it more robust for long-term prediction of the time series. The proposed M-BLRNN is applied to long-term prediction of network traffic. Experiments and results on Ethernet network traffic data show that the proposed M-BLRNN outperforms both the traditional Multi-Layer Perceptron Type Neural Network (MLPNN) and the BLRNN in terms of the normalized mean square error (NMSE).
['Byung-Jae Min', 'Dong-Chul Park', 'Hwan-Soo Choi']
I am writing a research paper on a idea Multiresolution-based bilinear recurrent neural network
[{"from": "human", "value": "I am writing a research paper on a idea Multiresolution-based bilinear recurrent neural network"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: A Multiresolution-based BiLinear Recurrent Neural Network (MBLRNN) is proposed in this paper. The proposed M-BLRNN is based on the BLRNN that has been proven to have robust abilities in modeling and predicting time series. The learning process is further improved by using a multiresolution-based learning algorithm for training the BLRNN so as to make it more robust for long-term prediction of the time series. The proposed M-BLRNN is applied to long-term prediction of network traffic. Experiments and results on Ethernet network traffic data show that the proposed M-BLRNN outperforms both the traditional Multi-Layer Perceptron Type Neural Network (MLPNN) and the BLRNN in terms of the normalized mean square error (NMSE)."}]