Soft Computing and Its Applications

Design of a hybrid system for the diabetes and heart diseases

“…The inputs of FNN 1 are crisp values, whereas its weights are fuzzy values and the reverse of this situation is valid for FNN 2 . For FNN 3 both input and weights are fuzzy values (Aliev & Aliev, 2001).…”

Tuning of fuzzy fuel controller for aero-engine thrust regulation and safety considerations using genetic algorithm

“…The fuzzy logic control, as an application of the fuzzy logic in the engineering fields, has many advantages such as simplicity in implementation and non-model-based approach, as mentioned before. Also, fuzzy control is more effective in the case of non-linear and time varying systems compared with other control methods [20] and [1]. An FLC has four basic components as follows:…”

“…In addition, as the environmental condition is considered to be at the standard level in this study, the engine corrected speed and the engine speed are equal. Thus, the performance index for the engine control system is defined in relation to the engine speed and is evaluated using the following cost function: (1) where N is the engine rotor speed, N dmd is the engine desired speed ordered by the pilot,ṁ f is the total fuel flow, sim_time is the simulation time, and t is the time index. The performance criteria are normalized first, and then weighted according to their importance by the coefficients of w i .…”

A Computing Model of Artificial Intelligent Approaches to Mid-term Load Forecasting: a state-of-the-art- survey for the researcher

“…Beside the mentioned methods, the expert systems [3,4,5,6,7] such as the artificial intelligent (AI) are frequently used for the system that required training and making decision based on the massive data. In the past, many artificial intelligence (AI) and Expert system (Es) methods such as artificial neural network (ANN), Fuzzy logic (Fs) and Genetic algorithm (GA) are proposed for the electricity load forecasting in short-term, mid-term and even long-term forecasting.…”