Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: , a comparison of the Choquet and Sugeno integrals is presented. The proposed methods enable the calculation of the Choquet and Sugeno integrals for combining multiple source of information with a degree of uncertainty. The methods are used to combine the modules output of a modular neural network for face recognition. , the focus is on aggregation operators that use measures as inputs, in particular the Choquet and Sugeno integrals. Recognition results with the Choquet integral are better or comparable to results produced by Sugeno integral.
['Gabriela E. Martinez', 'Olivia Mendoza', 'Patricia Melin', 'Fernando Gaxiola']
I am writing a research paper on a idea Comparison between Choquet and Sugeno integrals as aggregation operators for modular neural networks
[{"from": "human", "value": "I am writing a research paper on a idea Comparison between Choquet and Sugeno integrals as aggregation operators for modular neural networks"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: , a comparison of the Choquet and Sugeno integrals is presented. The proposed methods enable the calculation of the Choquet and Sugeno integrals for combining multiple source of information with a degree of uncertainty. The methods are used to combine the modules output of a modular neural network for face recognition. , the focus is on aggregation operators that use measures as inputs, in particular the Choquet and Sugeno integrals. Recognition results with the Choquet integral are better or comparable to results produced by Sugeno integral."}]