Titlebook: Neural Information Processing; 19th International C Tingwen Huang,Zhigang Zeng,Chi Sing Leung Conference proceedings 2012 Springer-Verlag B

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Modelling Energy Use and Fuel Consumption in Wheat Production Using Indirect Factors and Artificial ificial Neural Network models (ANNs), after examining more than 140 several direct and indirect parameters, can predict energy use and fuel consumption based on farm conditions, farmers’ social considerations, farm operation, machinery condition and farm inputs, arable farms in Canterbury with an er

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The Brain’s Sequential Parallelism: Perceptual Decision-Making and Early Sensory Responsesrdings in sensory, parietal, and pre-frontal cortical areas have demonstrated that different response characteristics and timings at the neuron level provide key mechanisms to implement characteristic functionalities. We propose a hybrid neural model architecture that accounts for such findings and

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Improving Risk Predictions by Preprocessing Imbalanced Credit Dataers. This is a very common situation in real-life credit scoring applications, but it has still received little attention. This paper investigates whether data resampling can be used to improve the performance of learners built from imbalanced credit data sets, and whether the effectiveness of resam

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Hybrid Validation of Handwriting Process Modellingpproaches were proposed in the literature. However, the validation results of these models remain less or more satisfactory. This paper deals with unconventional and conventional handwriting process characterization approaches based on the use of soft computing techniques namely the Radial Basis Fun

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