In this paper, we will use deep neural networks for predicting the bike sharing usage based on previous years usage data. We will use because deep neural nets for getting higher accuracy. Deep neural nets are quite different from other machine learning techniques; here we can add many numbers of hidden layers to improve the accuracy of our prediction and the model can be trained in the way we want such that we can achieve the results we want. Nowadays many AI experts will say that deep learning is the best AI technique available now and we can achieve some unbelievable results using this technique. Now we will use that technique to predict bike sharing usage of a rental company to make sure they can take good business decisions based on pre...
In the pile-free bicycle sharing scheme, the parking place and time of the bicycle are arbitrary. Th...
We applied four machine learning models, linear regression, the k-nearest neighbors (KNN), random fo...
Bike-sharing systems (BSS) are a means of smart transportation with the benefit of a positive impact...
In this paper, we will use deep neural networks for predicting the bike sharing usage based on previ...
https://doi.org/10.1177/03611981188013542018PDFJournal ArticleTRB18-03033Bicycle travelBicyclesMachi...
Bike-sharing is a new low-carbon and environment-friendly mode of public transport based on the “sha...
© 2019 Jian Jiang et al. Bike-sharing is a new low-carbon and environment-friendly mode of public tr...
In this paper, we present a system that has been developed to facilitate the collection and use of B...
In this paper, we present a system that has been developed to facilitate the collection and use of B...
Bike-Sharing Systems (BSSs) have rapidly grown in popularity worldwide in recent years. The driving ...
This article presents the first step of a project focusing on enhancing the management of bike-shari...
A bike-sharing system is a service in which a fleet of bicycles is made available to the public on a...
Bike-sharing systems are widely operated in many cities as green transportation means to solve the l...
This paper aims to create accurate predictive models for the bike-sharing system operated by Oslo Ci...
Machine learning algorithms are used in the transportation field to successfully identify patterns a...
In the pile-free bicycle sharing scheme, the parking place and time of the bicycle are arbitrary. Th...
We applied four machine learning models, linear regression, the k-nearest neighbors (KNN), random fo...
Bike-sharing systems (BSS) are a means of smart transportation with the benefit of a positive impact...
In this paper, we will use deep neural networks for predicting the bike sharing usage based on previ...
https://doi.org/10.1177/03611981188013542018PDFJournal ArticleTRB18-03033Bicycle travelBicyclesMachi...
Bike-sharing is a new low-carbon and environment-friendly mode of public transport based on the “sha...
© 2019 Jian Jiang et al. Bike-sharing is a new low-carbon and environment-friendly mode of public tr...
In this paper, we present a system that has been developed to facilitate the collection and use of B...
In this paper, we present a system that has been developed to facilitate the collection and use of B...
Bike-Sharing Systems (BSSs) have rapidly grown in popularity worldwide in recent years. The driving ...
This article presents the first step of a project focusing on enhancing the management of bike-shari...
A bike-sharing system is a service in which a fleet of bicycles is made available to the public on a...
Bike-sharing systems are widely operated in many cities as green transportation means to solve the l...
This paper aims to create accurate predictive models for the bike-sharing system operated by Oslo Ci...
Machine learning algorithms are used in the transportation field to successfully identify patterns a...
In the pile-free bicycle sharing scheme, the parking place and time of the bicycle are arbitrary. Th...
We applied four machine learning models, linear regression, the k-nearest neighbors (KNN), random fo...
Bike-sharing systems (BSS) are a means of smart transportation with the benefit of a positive impact...