A Critical analysis on Neural Networks and Deep Learning Based Techniques for the Cloud Computing System and its Impact on Industrial Management

Abstract

Cloud computing is stated as the critical aspect which has grown recently due to the increased usage of internet for communication, businesses financial transaction and others. This involves in offering dynamic expansion of various services through virtual networks. The cloud is mainly stated as the metaphor in describing various networks in the internet. The individuals tend to trust the cloud service providers in storing the large volume of data and information with the purpose of retrieving them in the future. This study is more focused in making a critical analysis on the application of neural networks and deep learning for cloud computing and its impact on the industrial management. Modern business enterprises are focusing in unleashing the power of technology in order to enhance their investments, gather large volume of data and store them in safe location so that they can be used for making organisational decision making. However, they are more focused on the cost aspect and the safety of storing the data, hence in order to support the customers various approaches were used by the cloud service providers some of them are Neural networks, Deep learning, machine learning etc. this enable in enhancing the trustworthiness of the users and achieve the desired goals through using the cloud computing. This study enables in using both primary and secondary data so as to apprehend the overall effectiveness of applying neural networks and deep learning mechanisms related to cloud computing. The researchers intend to apply correlation analysis and other non-parametric tools in order to measure the effectiveness. The conclusion is drawn based on the extensive analysis and interpretation of the data

Topics & Concepts