Neural networks for automated vehicle dispatching

1 Neural Networks for Automated Vehicle

Scope and Purpose. Inspired by the findings about neurons, a n d especially by some effective training procedures found in the late 70's, neural networks have seen a resurgence in the research community. I t s philosophy assumes simple but massive interconnected processing uni t s as the basic structure for information processing. Problems that a r e difficult to tackle with conventional symbol...

Neural Networks for Vehicle Recognition

In this contribution we describe a neural approach to classify vehicles based on sound emitted by them. Engines and the carriageable devices are the sources of signal. The used methodology doesn't require the detailed analysis which part of object is responsible for the components of signal. The sound is preprocessed using wavelet method to obtain feature vectors to be used by a neural classifi...

The Synchronized Vehicle Dispatching Problem

The synchronized Vehicle Dispatching Problem (SVDP) is a transportation problem that arises in many real world situations. One that illustrates well this problem is special version of the Dial-a-Ride problem, in which some disabled persons require assistance in order to prepare for transportation. In this case, a special team is sent to the residence of the special customer a few minutes before...

Simulating Dispatching Strategies for Automated Container Terminals

Neural Networks for Automated Essay Grading

The biggest obstacle to choosing constructed-response assessments over traditional multiple-choice assessments is the large cost and effort required for scoring. This project is an attempt to use different neural network architectures to build an accurate automated essay grading system to solve this problem.