When optimizing the performance of neural network-based chatbots, determining the optimizer is one of the most important aspects. Optimizers primarily control the adjustment of model parameters such as weight and bias to minimize a loss function during training. Adaptive optimizers such as ADAM have become a standard choice and are widely used for their invariant parameter updates' magnitudes concerning gradient scale variations, but often pose generalization problems. Alternatively, Stochastic Gradient Descent (SGD) with Momentum and the extension of ADAM, the ADAMW, offers several advantages. This study aims to compare and examine the effects of these optimizers on the chatbot CST dataset. The effectiveness of each optimizer is evaluat

This research studying the phenomenon of Doppler (frequency Doppler) as a method through which the direction and speed of the blood cells flows in blood vessels wear measured. This Doppler frequency is relied upon in medicine for measuring the speed of blood flow, because the blood flow is an important concept from the concepts of medicine. It represents the function and efficient of the heart and blood vessels in the body so any defect in this function will appear as a change in the speed of blood flow from the normal value assumed. As this speed changes alot in cases of  disease and morbidity  of the heart, so in order to identify the effect of changing the Doppler frequency on the speed of blood flow and the relationship of

يعد مفهوم العولمة ظاهرة عالمية كونها نزعة طاغية في الوقت الحالي منسوبة الى العالم ، ولم تدخل بعد قوائم المفردات في القواميس السياسية والاقتصادية . (الأسدي ،2004-ص88).وأن العولمة  " Globlization أخذت مدلولان ، الاول يدل على الانفتاح وحرية التفكير ومتابعة الاكتشافات في مختلف المجالات والابتعاد عن الرتابة والروتين . اما الثاني فيدل على سطحية التفكير وحب التغيير لأجل التغيير ونبذ الماض

İlk çağlarda yaşayan insanların hayal dünyasını tanıtan masallar görünümünde olan destanlar‚ aslında‚ milleylerin tarih öncesi devirlerde başlayan kuruluşlarını‚ inanışlarını‚ erdemlerini‚ fikir ve sanatlarını anlatır.
Destanlar‚ kökü tarihe dayanan olayların, halk gözüyle görülen‚ halk ruhuyla duyulan masallaşmış görüntüleridir. Destanlarda milletlerin dinleri, türlü inanışları‚ Tanrı karşısındaki davranışları, yaşadıkları coğrafyanın özellikleri ile birleşmiş duyguları vardır.
Su köpüğünden yaratılmış‚ bir ağacın karnından doğmuş, ışık kümelerinin içinden çıkmış‚ fil kadar kuvvetli, güneş kadar güzel insanların maceralarını

Abstract. In this paper, a high order extended state observer (HOESO) based a sliding mode control (SMC) is proposed for a flexible joint robot (FJR) system in the presence of time varying external disturbance. A composite controller is integrated the merits of both HOESO and SMC to enhance the tracking performance of FJR system under the time varying and fast lumped disturbance. First, the HOESO estimator is constructed based on only one measured state to precisely estimate unknown system states and lumped disturbance with its high order derivatives in the FJR system. Second, the SMC scheme is designed based on such accurate estimations to govern the nominal FJR system by well compensating the estimation errors in the states and the lumped

in this paper the collocation method will be solve ordinary differential equations of retarted arguments also some examples are presented in order to illustrate this approach

In cognitive radio networks, there are two important probabilities; the first probability is important to primary users called probability of detection as it indicates their protection level from secondary users, and the second probability is important to the secondary users called probability of false alarm which is used for determining their using of unoccupied channel. Cooperation sensing can improve the probabilities of detection and false alarm. A new approach of determine optimal value for these probabilities, is supposed and considered to face multi secondary users through discovering an optimal threshold value for each unique detection curve then jointly find the optimal thresholds. To get the aggregated throughput over transmission

The blade pitch angle (BPA) in wind turbine (WT) is controlled to maximize output power generation above the rated wind speed (WS). In this paper, four types of controllers are suggested and compared for BPA controller in WT: PID controller (PIDC), type-1 fuzzy logic controller (T1-FLC), type-2 fuzzy logic controller (T2-FLC), and hybrid fuzzy-PID controller (FPIDC). The Mamdani and Sugeno fuzzy inference systems (FIS) have been compared to find the best inference system used in FLC. Genetic algorithm (GA) and Particle swarm optimization algorithm (PSO) are used to find the optimal tuning of the PID parameter. The results of500-kw horizontal-axis wind turbine show that PIDC based on PSO can reduced 2.81% in summation error of power