in this study greenhouse tomato production was investigated from energy consumption and greenhouse gas (ghg) emission point of views. moreover, artificial neural networks (anns) and adaptive neuro-fuzzy inference systems (anfis) were employed to model energy consumption for greenhouse tomato production. total energy input and output were calculated as 1316.14 and 281.1 gj/ha. among the all ener...

Utilizing MATLAB to develop graphical user interface in modeling of machining responses is a very rare case among researchers, especially for the complex and nonlinear machining processes. Since it is more complicated and time consuming for one to explore artificial intelligent tools to model a process or response using MATLAB due to unfamiliarity and phobia of programming, a new approach is ve...

In this work we exploit an anfis network to achieve the singularities avoidance of a redundant robot. This latter must carry out a trajectory tracking in the Cartesian space near a singularity point. The singularity avoidance without affecting trajectory tracking is involved via selfmotion method. The analytical determination of this self motion is obtained on the optimization of scalar functio...

In this study, adaptive neuro-fuzzy inference system (ANFIS) was applied to estimate the parameters of a coagulation chemical dosing unit for water treatment plants. The dosing unit has three input variables (sudfloc 3835, ferric chloride and hydrated lime flow rates) and two output variables (surface charge and pH values). The ANFIS model is compared with multilayer backpropagation network (MB...

This paper introduces the application of the hybrid approach Adaptive Neuro-Fuzzy Inference System (ANFIS) for fault classification and diagnosis in industrial actuator. The ANFIS can be viewed either as a fuzzy inference system, a neural network or fuzzy neural network (FNN). This paper integrates the learning capabilities of neural network to the robustness of fuzzy systems in the sense that ...

Surface quality and dimensional precision will greatly affect parts during their useful life especially in cases where the components will be in direct contact with other elements during their application. This paper deals with three soft computing techniques namely Adaptive Neuro Fuzzy Inference System ANFIS, Neural Networks NN and regression in predicting the surface roughness in turning proc...

This paper presents a methodology for the detection of broken rotor bar fault and power quality (PQ) disturbances in the supply to induction motor. These faults lead to increase in the temperature and decrease in the efficiency of the induction motor. Wavelet transform is applied to the stator current, for the extraction of the signature of the fault. These wavelet coefficients are fed as input...

In a great diversity of knowledge areas, the variables that are involved in the behavior of a complex system, perform normally, a non-linear system. The search of a function that express those behavior, requires techniques as mathematics optimization techniques or others. The new paradigms introduced in the soft computing, as fuzzy logic, neuronal networks, genetics algorithms and the fusion of...

in this research, the physico-chemical water quality parameters and the effect of climate changes onwater quality is evaluated. during the observation period (5 months) physico-chemical parameterssuch as water temperature, turbidity, saturated oxygen, dissolved oxygen, ph, chlorophyll-a, salinity,conductivity, and concentration of total nitrogen (nutrient level) as main pollutant factor have be...