Behavior Selection System for Robot Using Neural Network
نویسندگان
چکیده
منابع مشابه
An expert system for perfume selection using artificial neural network
The objective of this research is to help customers in purchasing perfumes, with the aid of the expert system program developed by using artificial neural networks. The expert system’s role is in the preparation to capture the data from the customer’s requirements and predict appropriate perfume. For this end, factors of perfume costumers’ decision were recognized using Fuzzy Delphi method and ...
متن کاملForecasting of rainfall using different input selection methods on climate signals for neural network inputs
Long-term prediction of precipitation in planning and managing water resources, especially in arid and semi-arid countries such as Iran, has a great importance. In this paper, a method for predicting long-term precipitation using weather signals and artificial neural networks is presented. For this purpose, climatic data (large-scale signals) and meteorological data (local precipitation and tem...
متن کاملDesign of Adaptive Robot Control System Using Recurrent Neural Network
The use of a new Recurrent Neural Network (RNN) for controlling a robot manipulator is presented in this paper. The RNN is a modification of Elman network. In order to solve load uncertainties, a fast-load adaptive identification is also employed in a control system. The weight parameters of the network are updated using the standard Back-Propagation (BP) learning algorithm. The proposed contro...
متن کاملscour modeling piles of kambuzia industrial city bridge using hec-ras and artificial neural network
today, scouring is one of the important topics in the river and coastal engineering so that the most destruction in the bridges is occurred due to this phenomenon. whereas the bridges are assumed as the most important connecting structures in the communications roads in the country and their importance is doubled while floodwater, thus exact design and maintenance thereof is very crucial. f...
Using Neural Network for DJIA Stock Selection
This paper presents methodologies to select equities based on soft-computing models which focus on applying fundamental analysis for equities screening. This paper compares the performance of three soft-computing models, namely Multilayer Perceptrons (MLP), Adaptive Neuro-Fuzzy Inference Systems (ANFIS) and General Growing and Pruning Radial Basis Function (GGAP-RBF). It studies their computati...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Proceedings of International Conference on Artificial Life and Robotics
سال: 2020
ISSN: 2188-7829
DOI: 10.5954/icarob.2020.os22-2