A three-stage learning algorithm for deep multilayer perceptron (DMLP) with effective weight initialisation based on sparse auto-encoder is proposed in this paper, which aims to overcome difficulties in training deep neural networks with limited training data in high-dimensional feature space. At the first stage, unsupervised learning is adopted using sparse auto-encoder to obtain the initial weights of the feature extraction layers of the DMLP. At the second stage, error back-propagation is used to train the DMLP by fixing the weights obtained at the first stage for its feature extraction layers. At the third stage, all the weights of the DMLP obtained at the second stage are refined by error back-propagation. Network structures an

In this paper, an approach for object tracking that is inspired from human oculomotor system is proposed and verified experimentally. The developed approach divided into two phases, fast tracking or saccadic phase and smooth pursuit phase. In the first phase, the field of the view is segmented into four regions that are analogue to retinal periphery in the oculomotor system. When the object of interest is entering these regions, the developed vision system responds by changing the values of the pan and tilt angles to allow the object lies in the fovea area and then the second phase will activate. A fuzzy logic method is implemented in the saccadic phase as an intelligent decision maker to select the values of the pan and tilt angle based

This paper presents an improved technique on Ant Colony Optimization (ACO) algorithm. The procedure is applied on Single Machine with Infinite Bus (SMIB) system with power system stabilizer (PSS) at three different loading regimes. The simulations are made by using MATLAB software. The results show that by using Improved Ant Colony Optimization (IACO) the system will give better performance with less number of iterations as it compared with a previous modification on ACO. In addition, the probability of selecting the arc depends on the best ant performance and the evaporation rate.

This review delves deep into the intricate relationship between urban planning and flood risk management, tracing its historical trajectory and the evolution of methodologies over time. Traditionally, urban centers prioritized defensive measures, like dikes and levees, with an emphasis on immediate solutions over long-term resilience. These practices, though effective in the short term, often overlooked broader environmental implications and the necessity for holistic planning. However, as urban areas burgeoned and climate change introduced new challenges, there has been a marked shift in approach. Modern urban planning now emphasizes integrated blue-green infrastructure, aiming to harmonize human habitation with water cycles. Resil

المستخلص
، ( اب ( ١٩٢٢ ô یدتھ ارض الیب ô ي قص ô وت ،ف ô زي الی ô اعر الانجلی ô یھدف ھذا البحث الى بیان مدى تأكید الش
ن ô ة م ô ان والطبیع ô ین الانس ô ت ب ô ا ربط ô ي لطالم ô ة ،الت ô على الحاجة الملحة للانسان الحدیث لاسترجاع الصلة الحمیم
ة ô ي بمثاب ô ة ھ ô ان الثلاث ô ذه الارك ô ین ھ ô ة ب ô ة الموثق ô ذه العلاق ô رى .ان ھ ô ة اخ ô ن جھ ô جھة ، وبین الانسان والاسطورة م
ات ô ي الثقاف ô ة ف ô وس الدینی ô وبة والطق ô اطیر الخ

Vehicular ad hoc networks (VANETs) are considered an emerging technology in the industrial and educational fields. This technology is essential in the deployment of the intelligent transportation system, which is targeted to improve safety and efficiency of traffic. The implementation of VANETs can be effectively executed by transmitting data among vehicles with the use of multiple hops. However, the intrinsic characteristics of VANETs, such as its dynamic network topology and intermittent connectivity, limit data delivery. One particular challenge of this network is the possibility that the contributing node may only remain in the network for a limited time. Hence, to prevent data loss from that node, the information must reach the destina

يسلط هذا البحث الضوءعلى طبيعة النظام السياسي في العراق الجديد الذى اضحى وبموجب الدستور العراقي الدائم لعام 2005 دولة حرة, ديمقراطية,موحدة,وبرلمانية(نيابية) تتمع بنظام فدرالي قائم على اساس الفصل بين السلطات الثلاث التشريعية والتنفيذية والقضائية. فلقد شهد العراق اكبر تظاهرة ديمقراطية في تاريخه المعاصر منذ نشأة الدولة العراقية وحتى 2003 ولحد الان خمسة /4/ السابع من أذار 2010 . فالمسرح السياسي العرا

Abstract

       There are many uncertainty sources that may affect the statistical reasoning. However, traditional methods can not deal with all kinds of uncertainty sources, which has led many researchers to develop traditional methods. Studies still exist to this day, making hypotheses to create a common understanding for the purpose of reaching new solutions through the use of new methods that combine traditional and modern theories of sources of uncertainty

       The aim of current study was to develop the adaptive fuzzy linear regression model in the case of using inaccurate data as the source of uncertainty. Specifically, the