نتایج جستجو برای: lssvm
تعداد نتایج: 355 فیلتر نتایج به سال:
Among all statistics, government statistics plays an extremely important role in socioeconomic activities, while the continuous changes of external factors bring new challenges to and have a great impact on quality statistics. With rapid development economy maturity market system, demand for from walks life has become more vigorous. In order effectively improve accuracy macroeconomic outflow fo...
Precipitation is a vital component of the regional water resource circulation system. Accurate and efficient precipitation prediction especially important in context global warming, as it can help explore pattern promote comprehensive utilization. However, due to influence many factors, process exhibits significant stochasticity, uncertainty, nonlinearity despite having some regularity. In this...
Good water quality is important for normal production processes in industrial aquaculture. However, situ or real-time monitoring generally not available many aquacultural systems due to relatively high costs. Therefore, it necessary predict parameters aquaculture obtain useful information managing activities. This study used back propagation neural network (BPNN), radial basis function (RBFNN),...
In the present work, two artificial intelligence-based models were proposed to determine output power of types photovoltaic cells including multicrystalline (multi-) and monocrystalline (mono-). Adaptive neuro-fuzzy inference system (ANFIS) Least-squares support vector machine (LSSVM) are applied for calculations. The estimation results very close actual data based on graphical statistical anal...
E-commerce is a cyber, electronic and informational business activities. Electronic commerce has been developing rapidly in recent years in China. Cloud computing provides a new idea for the development of electronic commerce. In practice, cloud computing also has a very good combination of e-commerce. To predict the profit of electronic commerce can find the existing problems, grasp the develo...
Using explosive material to fragment rock masses is a common and economical method in surface mines. Nevertheless, this can lead some environmental problems the surrounding regions. Flyrock one of most dangerous effects induced by blasting which needs be estimated reduce potential risk damage. In other words, minimization flyrock sustainability surroundings environment sites. To aim, present st...
The potential of four different neuro-fuzzy embedded meta-heuristic algorithms, particle swarm optimization, genetic algorithm, harmony search, and teaching–learning-based optimization was investigated in this study estimating the water quality Yamuna River Delhi, India. A cross-validation approach employed by splitting data into three equal parts, where models were evaluated using each part. m...
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