Software Effort estimation involves the estimation of effort required to develop software. Cost overrun, schedule overrun occur in the software development due to the wrong estimate made during the initial stage of software development. Proper estimation is very essential for successful completion of software development. Lot of estimation techniques available to estimate the effort in which ne...

In this paper, a neuro-genetic approach is proposed for the inverse kinematics problem solution of robotic manipulators. The proposed solution method is based on using neural networks and genetic algorithms in a hybrid system. Neural networks have been used by many researchers in the inverse kinematics solution. Since the neural networks work with an acceptable error, the error at the end of le...

We consider the task of training a neural network to classify natural language sentences as grammatical or ungrammatical, thereby exhibiting the same kind of discriminatory power provided by the Principles and Parameters linguistic framework, or Government and Binding theory. We investigate the following models: feed-forward neural networks, Frasconi-Gori-Soda and Back-Tsoi locally recurrent ne...

Recently, artificial neural networks have been successfully applied to various hydrologic problems. This paper proposed flood water level modeling using the Hybrid of Back Propagation Neural Network with Extended Kalman Filter and the Hybrid of Elman Neural Network with Extended Kalman Filter that using the water level data from Sungai Kelang which is located at Jambatan Petaling, Kuala Lumpur....

This paper proposes the use of artificial neural networks (feed forward multi-layer perceptron and Elman recurrent networks) in forecasting sales trends at retail by analyzing industry and manufacturer specific metrics along with national economic indicators. Relevant data drivers were gathered based on consultations with the manufacturer as well as experts in the fields of economics and financ...

Imitation learning is a promising way to learn new behavior in robotic multiagent systems and in human-robot interaction. However, imitating agents should be able to decide autonomously which behavior, observed in others, is interesting to copy. This paper shows a method for extraction of meaningful chunks of information from a continuous sequence of observed actions by using a simple recurrent...

آلیاژهای منیزیم معمولاً دارای عدم تقارن تسلیم در حالت کشش و فشار هستند که این عامل ناشی از سازوکارهای مختلف تغییر شکل پلاستیک فعال تحت بارگذاری‌های کششی فشاری است. مقاله بر روی شبیه‌سازی المان حجمی نماینده‌ی سه‌بعدی آلیاژ اکسترود شده تمرکز دارد تا با کمک روابط کریستال پلاستیسیته تأثیر شدت بافت پایه ـ را بررسی کند. پلاستیسته مبتنی‌بر لغزش به‌صورت یک زیربرنامه نرم‌افزار آباکوس (U‌M‌A‌T) برای آزمون...