Wireless communication technologies such as fifth generation mobile networks (5G) will not
only provide an increase of 1000 times in Internet traffic in the next decade but will also offer …

Artificial Neural Networks (ANNs) are being used increasingly to predict and forecast water
resources variables. In this paper, the steps that should be followed in the development of …

In this paper, an early stopped training approach (STA) is introduced to train multi-layer feed-
forward neural networks (FNN) for real-time reservoir inflow forecasting. The proposed …

Artificial immune systems (AIS) can be defined as computational systems inspired by
theoretical immunology, observed immune functions, principles and mechanisms in order to …

Conventional model-based data processing methods are computationally expensive and
require experts' knowledge for the modelling of a system. Neural networks are a model-free …

Back propagation (BP) based on stochastic gradient descent is the prevailing method to
train multilayer neural networks (MNNs) with hidden layers. However, the existence of the …

Forecasting a hydrologic time series has been one of the most complicated tasks owing to
the wide range of data, the uncertainties in the parameters influencing the time series and …

Financial time series prediction has many applications in economics, but producing
profitable strategies certainly has a special place among them, a daunting challenge …

A particle swarm optimization (PSO) that uses an adaptive variable population size and
periodic partial increasing or declining individuals in the form of ladder function is proposed …

摘要第5 代移动通信(5G) 技术将为移动互联网的快速发展提供无所不在的基础性业务能力,
在满足未来10 年移动互联网流量增加1000 倍发展需求的同时, 为全行业 …