Soft Computing Techniques (SCT) are extensively used to estimate Labyrinth Weir's (LW) flow-rate. Due the multiplicity of these techniques, identifying most competent SCT is indispensable. This study aims flow-rate a sharp-crest triangular LW as function its side leg angle α and total head ratio (H/P) through several SCTs such Adaptive Neuro-Fuzzy Inference System (ANFIS), Multi-Layer Perceptro...

The Proportional Integral Derivative (PID) controller is the most adopted controllers for industrial plants, due to its simplicity and satisfactory performances for a wide range of processes. It should be noted that the accurate and efficient tuning of parameters such controllers is very important. On the other hand, industrial plants, such as power systems, usually have some features, such as ...

The fetal electrocardiogram (FECG) signal reflects the electrical activity of the fetal heart. It contains information about the health status of the fetus and therefore, an early diagnosis of any cardiac defects before delivery increases the effectiveness of the appropriate treatment. The proposed approach extracts the FECG from two ECG signals recorded at the thoracic and abdominal areas of t...

Green hydrogen is considered to be one of the best candidates for fossil fuels in near future. Bio-hydrogen production from dark fermentation organic materials, including wastes, most cost-effective and promising methods production. One main challenges posed by this method low rate. Therefore, optimizing operating parameters, such as initial pH value, temperature, N/C ratio, concentration (xylo...

Abstract Hydropower is a clean and efficient technology for producing renewable energy. Assessment forecasting of hydropower production are important strategic decision-making. This study aimed to use machine learning models, including adaptive neuro-fuzzy inference system (ANFIS), gene expression programming, random forest (RF), least square support vector regression (LSSVR), predicting hydroe...

In this paper, we propose two soft computing localization techniques for wireless sensor networks (WSNs). The two techniques, Neural Fuzzy Inference System (ANFIS) and Artificial Neural Network (ANN), focus on a range-based localization method which relies on the measurement of the received signal strength indicator (RSSI) from the three ZigBee anchor nodes distributed throughout the track cycl...

This paper presents novel GA-ANFIS expert system prototype for dermatological disease detection by using dermatological features and diagnoses collected in real conditions. Nine dermatological features are used as inputs to classifiers that are based on Adaptive Neuro-Fuzzy Inference Systems (ANFIS) for the first level of fuzzy model optimization. After that, they are used as inputs in Genetic ...