نتایج جستجو برای: regression and anfis methods
تعداد نتایج: 16925306 فیلتر نتایج به سال:
nowadays, the development of anti cancer drugs is an important subject in pharmacology. bisphosphonates (b.p) are a great choice for design and production of the types of drugs which not only could perform as anti cancer agents but also could inhibit the function of acetyl cholinesterase (ache). ache hydrolyzes the acetylcholine (which is a neurotransmitter in nervous system) using the oh in i...
introduction: diabetes mellitus is an growing national and international public health concern. the number of people affected by diabetes in world by 2030 will be 69% in developing countries. regular physical activity plays a key role in the management of type 2 diabetes melitus, particularly glycemic control. it has been recommended that peoples with type 2 diabetes participate in moderate-int...
cognitive studies of translation process have recently been awarded a great deal of attention. there exists a psychological angle to almost all translation activities. the present study, thus, deals with analysing the relationships between iranian prospective translators tolerance for ambiguity (ta) and their willingness to translate (wtt). the research was conducted as a mixed methods study, d...
Compressive strength of concrete is an important parameter in design. Accurate prediction compressive can lower costs and save time. Therefore, thecompressive performance artificial intelligence methods (adaptive neuro fuzzy inference system, random forest, linear regression, classification regression tree, support vector k-nearest neighbour extreme learning machine) are compared this study usi...
The fuzzy and neuro fuzzy systems have been successfully used to solve problems in various fields such as medicine, manufacturing, control, agriculture and academic applications. In recent decades, neural networks have been used to the identification, assessment and diagnosis of diseases. In this thesis we performed a comparative study among fuzzy neural networks (ANFIS), multilayer perceptron ...
abstract: in this thesis, we focus to class of convex optimization problem whose objective function is given as a linear function and a convex function of a linear transformation of the decision variables and whose feasible region is a polytope. we show that there exists an optimal solution to this class of problems on a face of the constraint polytope of feasible region. based on this, we dev...
The main purpose of the current research is comparing the results of Artificial Neural Network (ANN) with Adaptive Neuro-Fuzzy Inference System (ANFIS) with regard to determination of the importance of soil properties affecting clay dispersibility. After taking samples from two depths of 0-40 and 40-80 cm, the spontaneous and mechanical dispersions of clay were recorded using both weighing and ...
Grazing intensity should follow the management roles to prevent the soil compaction. Soil compaction decreases plant root penetration so that at 2 MPa the root extension and above ground biomass will stop. In this research, digital penetrometer was used to assessment the soil compaction level in Sabalan region in Ardabil province caused by livestock. Grazing intensity and distance from villa...
purpose a metabolic abnormality such as obesity is a major obstacle in the maintenance of the human health system and causes various chronic diseases including type 2 diabetes, hypertension, cardiovascular diseases, as well as various cancers. this study was designed to summarize the recent scientific knowledge regarding the anti-obesity role of curcumin (diferuloylmethane), which is isolated f...
The proximate analysis is the most common form of coal evaluation and it reveals the quality of a coal sample. It examines four factors including the moisture, ash, volatile matter (VM), and fixed carbon (FC) within the coal sample. Every factor is determined through a distinct experimental procedure under ASTM specified conditions. These determinations are time consuming and require a signific...
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