In this research, a neural network (NN) model for metal price forecasting based on an evolutionary approach is proposed. Both the neural network model’s network parameters and network architecture are selected automatically. The time series metal price data set is used to construct a novel fitness function that takes into account both error minimizations and the reproduction of the auto-correlation function. Calculating the average entropy values allowed the selection of the input parameter count for the neural network model. Gold price forecasting was performed using the proposed methodology. The optimal hidden node number, learning rate, and momentum are 9, 0.026, and 0.76, respectively, according to the evolutionary-based NN model. The proposed strategy is shown to reduce estimation error while also reproducing the auto-correlation function of the time series data set by the validation results with gold price data. The performance of the proposed method is better than other current methods, according to a comparison study.

With the adoption and wide usage of smart gadgets and devices for multiple applications, the association of advanced technologies is quite prominence and needs higher degree of accuracy and performance. These are legitimately connected with the advanced innovations including Internet of Things, Internet of Everything, Internet of Vehicles, Internet of Cloud Apps and numerous others. This original copy is therefore displaying the enormous issues and research focuses in this area with the associated streams so the different elements of IoT, IoE, IoX, IoV and others can be broke down with the examination openings and the portions for various streams. In the present situation, the IoT based coordination of digital forms of money is very unmistakable whereby the distributed system is pursued and it goes under the innovation of blockchain. The blockchain innovation is likewise connected with the shrewd advances. In the present period, Blockchain Technology is one of the key territories of research just as execution explicitly in the space of cryptocurrency. Presently days, various computerized cryptographic forms of money are very conspicuous and shared all through the world in spite of tremendous analysis and discussions. Other than these purposes of research, the vehicular mix of IoT is very conspicuous that is tended to utilizing IoV that is Internet of Vehicles in the keen traffic observing and brilliant transportation. Presently days, the IoT is moving towards IoE or IoX which alludes to Internet of Everything and this is additionally tended to in this composition. The manuscript is presenting the scenarios for the implementation patterns associated with the security and dynamic key based environment.

The journal and authors retract the article entitled “An Evolutionary Technique for Building Neural Network Models for Predicting Metal Prices”

Cloud Computing and Distributed Computing is one of the prominent domains of research with the high-performance applications for assorted domains including web services, e-governance, telemedicine, citizen portals and many others. All these applications are performance aware and needs huge attention towards the security and integrity so that the citizen, social and corporate services can be delivered with huge level of performance with minimum error rate. In this research manuscript, the integration of high-performance research implementation is integrated using advanced simulation tools for Internet of Things (IoT) and cloud-based integrations and thereby the outcomes are attained with elevated effectiveness on assorted parameters.