BP neural network modeling is introduced using MATLAB neural network toolbox function, In order to find the non-linear mathematical model between data. And process parameters is optimized combination the neural network and genetic algorithm, The method has been applied to optimize parameters for ...
Red blocks are the outputs of the model, and the green block is the total weight transfer. An Artificial Neural Network was implemented in the mathematical model using the NFTOOL Neural Network Toolbox of MATLABTM. The Toolbox provides algorithms and pre-trained models to create, train, ...
Nevertheless, the artificial neural network model demonstrates exceptional accuracy. The sensitivity analysis of the ANN model shows that cement and fine aggregate have the most significant effect on predicting compressive strength (45.29% and 35.87%, respectively), while superplasticizer has the least ...
Cravings that precede loss of control (LOC) over food consumption present an opportunity for intervention in patients with the binge eating disorder (BED). In this pilot study, we used responsive deep brain stimulation (DBS) to record nucleus accumbens (
Graph-based network analysis Global and nodal network measures of the SCNs were calculated using the Brain Connectivity Toolbox [38] (Fig. 1). Standards of network integration, such as normalized characteristic path length and global efficiency, were computed. Measures of network segregation, includin...
The BP neural network toolbox of Matlab was used to simulate the test results. The results showed that in the pesticide-delivery system of the variable-rate spraying,there is a certain positive correlation between the flow flux and the opening size of the flow regulating valve. The increasing ...
On this basis, the simulation models of inrush current and short circuit current are established on the simulation platform PSCAD/EMTDC, the wavelet multiresolution analysis of the two currents is adopted by using the wavelet toolbox of matlab in this paper. According to the 'higher energy' ...
which makes uneven distribution of annual runoff and results in a disadvantaged allocation of water resources.This paper established an annual runoff model of BP neural network for the Wulasitai River in Tacheng Region,according to the characteristic of the annual runoff changing.The forecasting ...
Deep learning methods have recently enjoyed a number of successes in the tasks of classification and representation learning. These tasks are very important for brain imaging and neuroscience discovery, making the methods attractive candidates for porting to a neuroimager's toolbox. Successes are, in...
Instant Uploads And Storage Optimization In Dropbox (video) Distributed Hash Tables (video) Implement with array using linear probing hash(k, m) - m is size of hash table add(key, value) - if key already exists, update value exists(key) get(key) remove(key) More Knowledge Binary search...