Due to reducing the reliance of buildings on fossil fuels, Passive House (PH) is receiving
more and more attention. It is important that integrated optimization of passive performance …

In 2008, the Turkish government legislated a new regulation mandating the retrofit of
existing buildings and construction of energy-efficient buildings. Owing to the requirements …

The need to avoid computer system breaches is increasing. Many researchers have
adopted different approaches, such as intrusion detection systems (IDSs), to handle various …

Radial basis function (RBF) neural network can use linear learning algorithm to complete
the work formerly handled by nonlinear learning algorithm, and maintain the high precision …

Although evolutionary algorithms coupled with building simulation codes are often applied
in academic research, this approach has a limited use for actual applications of building …

The proposal of this study is a new nonlinear autoregressive moving average, NARMA-L2
controller, which is based on an adaptive neuro-fuzzy inference system, ANFIS architecture …

The performance of routing protocols determines the performance of MANET, and the
development and improvement of routing protocols have been the hotspot of MANET …

Hybrid optimization algorithms which combine Evolutionary Algorithms (EAs) and Gradient-
Based (GB) methods o refine the most promising solutions, are valuable tools for use in …

The evolutionary algorithms can solve reservoir operation with a fast convergence rate
whereas the major impediments in handling the joint operation of mega cascade reservoirs …

Due to the functionality of dynamic mapping for nonlinear complex data, BP neural network
(BP-NN) as a typical neural network has increasingly been applied to a variety of …