i want to implement ANN in SDN

$30-250 USD

In Progress

Posted

about 5 years ago

$30-250 USD

Paid on delivery

In order to improve the performance of data transmission in SDN, the proposes a load balance solution scheme by taking advantage of the global network view of SDN. We will collect 4 load features from each transmission path. These features are bandwidth utilization ratio, packet loss rate, transmission latency and transmission hops. By using this 4 load features, BP Artificial Neural Network model is trained to predict the integrated load for different path and to choose one with least load as the data-flow transmission path

Engineering

Java

Machine Learning (ML)

Software Development

Project ID: 18718482

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1 proposal

Remote project

Active 5 yrs ago

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1 freelancer is bidding on average $250 USD for this job

@hayat38402

Experienced in Machine learning algorithms Worked on several real time case studies Tools: Python Packages: Scikit-Learn, Numpy, Scipy, Pandas, Matplotlib, Stats models Statistics/Machine Learning Algorithms: Linear & Logistic Regression, SVM, PCA,LDA, Decision Tree, Random Forests, Clustering, Dimensionality Reduction,Naive Bayes Achievements:  Deployed complex predictive models like Time-series analysis & simulation to forecast sales  Created statistical models (ML algorithms/Regressions) & cluster groups (Kohonen maps/k-Means) to boost market share  independently performed visualization analysis of the assigned dataset  Improved Accuracy in Breast-cancer Dataset using Dimensionality Reduction and various Machine learning Techniques.

$250 USD in 3 days