Exact(6)
Neural network based systems are a favorable scheme in recent years in price and load predictions over traditional time series models.
A comparison analysis shows improved performance of the proposed hybrid method in short term traffic prediction over popular approaches like ARIMA and artificial neural network based systems.
It has been observed that although the performance of the developed system is not as high as neural network based systems that use training, it could still be employed in industry when there is no available training set of samples.
Therefore, the network based systems biology approach was partially validated for a normal developmental process.
Therefore, network based systems approach can be helpful for the identification of candidate genes related to complex diseases and their relationships.
Jing Zhao et al. applied a network based systems approach for the identification of candidate genes related to Axial spondyloarthropathy, which is a group of chronic inflammatory joint diseases that mainly affect the spine and the sacroiliac joints.
Similar(54)
In this paper, we present a neural network based system for fraud detection in banking systems.
The comparative studies between the proposed system with the single neural network based system and three parametric NHPP models are carried out.
It took longer than most people thought, with the first real breakthrough coming in 2009 when a neural network based system became better at speech recognition than a human transcriber.
A particle swarm optimization and neural network based system is developed to reduce the random and systematic errors in the developed impedance tube.
In the present study we examine the design and implementation of a computer network based system to aid the construction of a university course timetable.
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