Underwater Mobile Robot Global Localization by using Feedforward Backpropagation Neural Network

Feedforward control of a mobile robot using a neural network

Character Recognition using a Multilayer Feedforward Neural Network and Backpropagation

Neural network is widely used for classification and regression problems, and are proved to be effective with high successful rate. In this paper, a two layer feedforward artificial neural network is built based on the back propagation algorithm. The goal of this paper is to apply neural network in a classification problem, to distinguish which character a given input is. By training the neural...

Using Backpropagation Neural Network in Object Recognition for Hybrid Mechanism Mobile Robot

Navigation of mobile robots in environments with irregular terrain is a challenging task for scientists and engineers because it involves 3D environment recognition and high order dynamics of the mobile robotic systems. One way to solve this problem is to use hybrid locomotion mechanisms. In this paper, we aim to establish a novel frame work for hybrid local planner which combines motion primit...

Navigation of a Mobile Robot Using Virtual Potential Field and Artificial Neural Network

Mobile robot navigation is one of the basic problems in robotics. In this paper, a new approach is proposed for autonomous mobile robot navigation in an unknown environment. The proposed approach is based on learning virtual parallel paths that propel the mobile robot toward the track using a multi-layer, feed-forward neural network. For training, a human operator navigates the mobile robot in ...

Gender Classification Based on FeedForward Backpropagation Neural Network

Gender classification based on speech signal is an important task in variant fields such as content-based multimedia. In this paper we propose a novel and efficient method for gender classification based on neural network. In our work pitch feature of voice is used for classification between males and females. Our method is based on an MLP neural network. About 96 % of classification accuracy i...