Adaptive Boltzmann Medical Dataset Machine Learning

Thirukumaran  S; Regin  Rajan

doi:10.47494/mesb.v26i.1459

(1) Thirukumaran S Associate Professor, CSE Department, KL University, Vijayawada-AP, India
India
(2) Regin Rajan Assistant professor, Department of Computer Science and Engineering, SRMIST, Ramapuram Chennai, Tamil Nadu, India
India
(*) Corresponding Author

DOI:

https://doi.org/10.47494/mesb.v26i.1459

Keywords:

Restricted Boltzmann machine, Artificial intelligence, Deep learning, Adaptive learning method and Contrastive Divergence

Abstract

The RBM is a stochastic energy-based model of an unsupervised neural network (RBM). RBM is a key pre-training for Deep Learning. Structure of RBM includes weights and coefficients for neurons. Better network structure allows us to examine data more thoroughly, which is good. We looked at the variance of parameters in learning on demand to fix the problem. To determine why RBM's energy function fluctuates, we'll look at its parameter variance. A neuron generation and annihilation algorithm is smeared with an adaptive RBM learning method to determine the optimal number of hidden neurons for attribute imputation during training. When the energy function isn't converged and parameter variance is high, a hidden neuron is generated. If the neuron doesn't disrupt learning, it'll destroy the hidden neuron. In this study, some yardstick PIMA data sets were tested.

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Fazle Rabbi , Nasir Abdul Jalil , S. Suman Rajest , R. Regin, “ An Approximation For Monitoring The Efficiency Of Cooperative Across Diverse Network Aspects”, Webology, Volume 17, No 2, 2020, Pages: 1234-1247.

Khan, Shakir. "Artificial Intelligence Virtual Assistants (Chatbots) are Innovative Investigators." International Journal of Computer Science and Network Security 20.2 (2020): 93-98.

AlAjmi, Mohamed F., and Shakir Khan. "Collaborative Pharmacy Student Learning Outline for Mobile Atmosphere." International Journal of Advanced Computer Science and Applications 5.3 (2014).

Khan, Shakir, and Mohamed F. AlAjmi. "The Open Source Software (OSS) Utilization in Project Scattered Computing Environments." International Journal of Scientific Research 2.2 (2013): 177-178.

AlAjmi, Mohamed F., Shakir Khan, and Abdulkadir Alaydarous. "Data Protection Control and Learning Conducted Via Electronic Media IE Internet." International Journal of Advanced Computer Science and Applications 5.11 (2014).

Khan, Shakir, Mohammed AlAjmi, and Arun Sharma. "Safety Measures Investigation in Moodle LMS." Special Issue of International Journal of Computer Applications (2012).

Shakir Khan and Mohammed Alshara, “Fuzzy Data Mining Utilization to Classify Kids with Autism”, IJCSNS International Journal of Computer Science and Network, Vol. 19 No. 2, pp. 147-154, 2018.

Shakir Khan and Mohammed Alshara, “Arabic Evaluations’ Development in Information Retrieval”, International Journal of Advanced and Applied Sciences, 6(12) 2019, Pages: 92-98.

Khan, Shakir, and Mohammed Ali Alshara. "Adopting Open Source Software for Integrated Library System and Digital Library Automation." International Journal of Computer Science and Network Security 20.9 (2020): 158-165.

S. Khan, "Business Intelligence Aspect for Emotions and Sentiments Analysis," 2022 First International Conference on Electrical, Electronics, Information and Communication Technologies (ICEEICT), 2022, pp. 1-5.

Khan, S., Fazil, M., Sejwal, V.K., Ali Alshara, M., Alotaibi, R.M., Kamal, A., Baig, A., BiCHAT: BiLSTM with deep CNN and hierarchical attention for hate speech detection, Journal of King Saud University - Computer and Information Sciences (2022).

Aakanksha Singhal and D.K. Sharma, “Seven Divergence Measures by CDF of fitting in Exponential and Normal Distributions of COVID-19 Data”, Turkish Journal of Physiotherapy and Rehabilitation, Vol.32(3), pp. 1212 - 1222, 2021.

D.K. Sharma and Haldhar Sharma, “A Study of Trend Growth Rate of Confirmed cases, Death cases and Recovery cases in view of Covid-19 of Top Five States of India”, Solid State Technology, Vol.64(2), pp. 4526-4541, 2021.

D.K. Sharma, “Information Measure Computation and its Impact in MI COCO Dataset”, IEEE Conference Proceedings, 7th International Conference on Advanced Computing and Communication Systems (ICACCS), Vol.1, pp. 2011-2014, 2021.

Aakanksha Singhal and D.K. Sharma, “Keyword extraction using Renyi entropy: a statistical and domain independent method”, IEEE Conference Proceedings, 7th International Conference on Advanced Computing and Communication Systems (ICACCS), Vol.1, pp. 1970-1975, 2021.

Aakanksha Singhal and D.K. Sharma, “Generalization of F-Divergence Measures for Probability Distributions with Associated Utilities”, Solid State Technology, Vol.64(2), pp. 5525-5531, 2021.

Aakanksha Singhal and D.K. Sharma, “A Study of before and after Lockdown Situation of 10 Countries through Visualization of Data along With Entropy Analysis of Top Three Countries”, International Journal of Future Generation Communication and Networking, Vol.14(1), pp. 496-525, 2021.

Aakanksha Singhal and D.K. Sharma, “Generalized ‘Useful’ Rényi & Tsallis Information Measures, Some Discussions with Application to Rainfall Data", International Journal of Grid and Distributed Computing, Vol. 13(2), pp. 681-688, 2020.

Reetu Kumari and D. K. Sharma, “Generalized `Useful non-symmetric divergence measures and Inequalities", Journal of Mathematical Inequalities, Vol. 13(2), pp. 451-466, 2019.

D.S. Hooda and D.K. Sharma, “On Characterization of Joint and Conditional Exponential Survival Entropies", International Journal of Statistics and Reliability Engineering, Vol. 6(1), pp. 29-36, 2019.

Reetu Kumari and D. K. Sharma, “Generalized `Useful' AG and `Useful' JS-Divergence Measures and their Bounds", International Journal of Engineering, Science and Mathematics, Vol. 7 (1), pp. 441-450, 2018.

D.S. Hooda, Reetu Kumari and D. K. Sharma, “Intuitionistic Fuzzy Soft Set Theory and Its Application in Medical Diagnosis”, International Journal of Statistics in Medical Research, Vol. 7, pp. 70-76, 2018.

D.K. Sharma and Sonali Saxena, “Generalized Coding Theorem with Different Source Coding Schemes”, International Journal on Recent and Innovation Trends in Computing and Communication, Vol. 5(6), pp. 253 – 257, 2017.

A.K. Gupta, Y. K. Chauhan, and T Maity, “Experimental investigations and comparison of various MPPT techniques for photovoltaic system,” Sādhanā, Vol. 43, no. 8, pp.1-15, 2018.

A.K. Gupta, “Sun Irradiance Trappers for Solar PV Module to Operate on Maximum Power: An Experimental Study,” Turkish Journal of Computer and Mathematics Education (TURCOMAT), Vol. 12, no.5, pp.1112-1121, 2021.

A.K. Gupta, Y.K Chauhan, and T Maity and R Nanda, “Study of Solar PV Panel Under Partial Vacuum Conditions: A Step Towards Performance Improvement,” IETE Journal of Research, pp.1-8, 2020.

A.K. Gupta, Y.K Chauhan, and T Maity, “A new gamma scaling maximum power point tracking method for solar photovoltaic panel Feeding energy storage system,” IETE Journal of Research, vol.67, no.1, pp.1-21, 2018.

A. K. Gupta et al., "Effect of Various Incremental Conductance MPPT Methods on the Charging of Battery Load Feed by Solar Panel," in IEEE Access, vol. 9, pp. 90977-90988, 2021.

U. Zulfiqar, S. Mohy-Ul-Din, A. Abu-Rumman, A. E. M. Al-Shraah, And I. Ahmed, “Insurance-Growth Nexus: Aggregation and Disaggregation,” The Journal of Asian Finance, Economics and Business, vol. 7, no. 12, pp. 665–675, Dec. 2020.

Al-Shqairat, Z. I., Al Shraah, A. E. M., Abu-Rumman, A., “The role of critical success factors of knowledge stations in the development of local communities in Jordan: A managerial perspective,” Journal of management Information and Decision Sciences, vol. 23, no.5, pp. 510-526, Dec. 2020.

Abu-Rumman, Ayman. "Transformational leadership and human capital within the disruptive business environment of academia." World Journal on Educational Technology: Current Issues 13, no. 2 (2021): 178-187.

Almomani, Reham Zuhier Qasim, Lina Hamdan Mahmoud Al-Abbadi, Amani Rajab Abed Alhaleem Abu Rumman, Ayman Abu-Rumman, and Khaled Banyhamdan. "Organizational Memory, Knowledge Management, Marketing Innovation and Cost of Quality: Empirical Effects from Construction Industry in Jordan." Academy of Entrepreneurship Journal 25, no. 3 (2019): 1528-2686.

Alshawabkeh, Rawan, Amani Abu Rumman, Lina Al-Abbadi, and Ayman Abu-Rumman. "The intervening role of ambidexterity in the knowledge management project success connection." Problems and Perspectives in Management 18, no. 3 (2020): 56.

Abu-Rumman, Ayman. "Gaining competitive advantage through intellectual capital and knowledge management: an exploration of inhibitors and enablers in Jordanian Universities." Problems and Perspectives in Management 16, no. 3 (2018): 259-268.

Abu-Rumman, A. Al Shraah, F. Al-Madi, T. Alfalah, “Entrepreneurial networks, entrepreneurial orientation, and performance of small and medium enterprises: are dynamic capabilities the missing link?” Journal of Innovation and Entrepreneurship. Vol 10 Issue 29, pp 1-16. Jul 2021.

A.Al Shraah, A. Abu-Rumman, F. Al Madi, F.A. Alhammad, A.A. AlJboor, “The impact of quality management practices on knowledge management processes: a study of a social security corporation in Jordan” The TQM Journal. Apr 2021. DOI: https://doi.org/10.1108/TQM-08-2020-0183

Abu-Rumman, A. Al Shraah, F. Al-Madi, T. Alfalah, "The impact of quality framework application on patients’ satisfaction", International Journal of Human Rights in Healthcare, Jun2021. DOI: https://doi.org/10.1108/IJHRH-01-2021-0006.

Zafar, S.Z., Zhilin, Q., Malik, H., Abu-Rumman, A., Al Shraah, A., Al-Madi, F. and Alfalah, T.F. (2021), "Spatial spillover effects of technological innovation on total factor energy efficiency: taking government environment regulations into account for three continents", Business Process Management Journal, Vol. 27 No. 6, pp. 1874-1891.

Rupapara, V., Narra, M., Gonda, N. K., Thipparthy, K., & Gandhi, S. (2020). Auto-Encoders for Content-based Image Retrieval with its Implementation Using Handwritten Dataset. 2020 5th International Conference on Communication and Electronics Systems (ICCES), 289–294.

Rupapara, V., Thipparthy, K. R., Gunda, N. K., Narra, M., & Gandhi, S. (2020). Improving video ranking on social video platforms. 2020 7th International Conference on Smart Structures and Systems (ICSSS), 1–5.

Rupapara, V., Narra, M., Gonda, N. K., & Thipparthy, K. (2020). Relevant Data Node Extraction: A Web Data Extraction Method for Non Contagious Data. 2020 5th International Conference on Communication and Electronics Systems (ICCES), 500–505.

Ishaq, A., Sadiq, S., Umer, M., Ullah, S., Mirjalili, S., Rupapara, V., & Nappi, M. (2021). Improving the Prediction of Heart Failure Patients’ Survival Using SMOTE and Effective Data Mining Techniques. IEEE Access, 9, 39707–39716.

Rustam, F., Khalid, M., Aslam, W., Rupapara, V., Mehmood, A., & Choi, G. S. (2021). A performance comparison of supervised machine learning models for Covid-19 tweets sentiment analysis. PLOS ONE, 16(2), e0245909.

Yousaf, A., Umer, M., Sadiq, S., Ullah, S., Mirjalili, S., Rupapara, V., & Nappi, M. (2021b). Emotion Recognition by Textual Tweets Classification Using Voting Classifier (LR-SGD). IEEE Access, 9, 6286–6295.

Sadiq, S., Umer, M., Ullah, S., Mirjalili, S., Rupapara, V., & NAPPI, M. (2021). Discrepancy detection between actual user reviews and numeric ratings of Google App store using deep learning. Expert Systems with Applications, 115111.

Rupapara, V., Narra, M., Gonda, N. K., Thipparthy, K., & Gandhi, S. (2020). Auto-Encoders for Content-based Image Retrieval with its Implementation Using Handwritten Dataset. 2020 5th International Conference on Communication and Electronics Systems (ICCES), 289–294.

Rupapara, V., Thipparthy, K. R., Gunda, N. K., Narra, M., & Gandhi, S. (2020). Improving video ranking on social video platforms. 2020 7th International Conference on Smart Structures and Systems (ICSSS), 1–5.

Rupapara, V., Narra, M., Gonda, N. K., & Thipparthy, K. (2020). Relevant Data Node Extraction:A Web Data Extraction Method for Non Contagious Data. 2020 5th International Conference on Communication and Electronics Systems (ICCES), 500–505

D.S. Hooda, Keerti Upadhyay and D.K. Sharma, “On Parametric Generalization of ‘Useful’ R- norm Information Measure” British Journal of Mathematics & Computer Science, Vol. 8(1), pp. 1-15, 2015.

D.S. Hooda, Keerti Upadhyay and D.K. Sharma, “A Generalized Measure of ‘Useful R-norm Information”, International Journal of Engineering Mathematics and Computer Sciences, Vol 3(5), pp.1-11, 2014.

D.S. Hooda, Keerti Upadhyay and D.K. Sharma, “Bounds on Cost Measures in terms of ‘Useful’ R-norm Information Measures” Direct Research Journal of Engineering and Information Technology, Vol.2 (2), pp.11-17, 2014.

D.S. Hooda and D.K. Sharma, “Lower and Upper Bounds Inequality of a Generalized ‘Useful’ Mean Code Length” GAMS Journal of Mathematics and Mathematical Biosciences, Vol. 4(1), pp.62-69, 2013.

D.S. Hooda, Keerti Upadhyay and D.K. Sharma, ‘Useful’ R-Norm Information Measure and its Properties” IOSR Journal of Electronics and Communication Engineering, Vol. 8, pp. 52-57, 2013.

D.S. Hooda, Sonali Saxena and D.K. Sharma, “A Generalized R-Norm Entropy and Coding Theorem” International Journal of Mathematical Sciences and Engineering Applications, Vol.5(2), pp.385-393, 2011.

D.S. Hooda and D.K. Sharma, “Bounds on Two Generalized Cost Measures” Journal of Combinatorics, Information & System Sciences, Vol. 35(3-4), pp. 513-530, 2010.

D.K. Sharma and D.S. Hooda, “Generalized Measures of ‘Useful’ Relative Information and Inequalities” Journal of Engineering, Management & Pharmaceutical Sciences, Vol.1(1), pp.15-21, 2010.

D.S. Hooda and D.K. Sharma (2010) “Exponential Survival Entropies and Their Properties” Advances in Mathematical Sciences and Applications, Vol. 20, pp. 265-279, 2010.

D.S. Hooda and D.K. Sharma, “Generalized ‘Useful’ Information Generating Functions” Journal of Appl. Math. and Informatics, Vol. 27( 3-4), pp. 591-601, 2009.

D.S. Hooda and D.K. Sharma, “Non-additive Generalized Measures of ‘Useful’ Inaccuracy” Journal of Rajasthan Academy of Physical Sciences, Vol. 7(3), pp.359-368, 2008.

D.S. Hooda and D.K. Sharma, Generalized R-Norm information Measures-Journal of Appl. Math, Statistics & informatics (JAMSI), Vol. 4 No.2 , 153-168, 2008.

Dilip Kumar Sharma, “Some Generalized Information Measures: Their characterization and Applications”, Lambert Academic Publishing, Germany, 2010. ISBN: 978-3838386041.

S. Kamal, D. Rahman and D. Singh, "Covid-19 Related Factors Associated with Antenatal Care in Rural Bangladesh: A qualitative study", Asia Pacific Journal of Health Management, vol. 17, no. 1, 2022.

Steffi. R, D.K. Sharma, S. Suman Rajest, R. Regin, A. J. Obaid, and G. Jerusha Angelene Christabel, “Perceptron in Supervised, Semi-Supervised, Unsupervised Learning and Artificial Neural Network”, CAJOTAS, vol. 3, no. 5, pp. 176-199, May 2022.

A, V. V. ., T, S. ., S, S. N. ., & Rajest, D. S. S. . (2022). IoT-Based Automated Oxygen Pumping System for Acute Asthma Patients. European Journal of Life Safety and Stability (2660-9630), 19 (7), 8-34.

D Datta, S Mishra, SS Rajest, (2020) “Quantification of tolerance limits of engineering system using uncertainty modeling for sustainable energy” International Journal of Intelligent Networks, Vol.1, 2020, pp.1-8, https://doi.org/10.1016/j.ijin.2020.05.006

Leo Willyanto Santoso, Bhopendra Singh, S. Suman Rajest, R. Regin, Karrar Hameed Kadhim (2021), “A Genetic Programming Approach to Binary Classification Problem” EAI Endorsed Transactions on Energy, Vol.8, no. 31, pp. 1-8. DOI: 10.4108/eai.13-7-2018.165523

K.K.D. Ramesh, G. Kiran Kumar, K. Swapna, Debabrata Datta, and S. Suman Rajest, “A Review of Medical Image Segmentation Algorithms”, EAI Endorsed Transactions on Pervasive Health and Technology, 2021, doi: 10.4108/eai.12-4-2021.169184

R. Regin, S. Suman Rajest and Bhopendra Singh, “Fault Detection in Wireless Sensor Network Based on Deep Learning Algorithms”, EAI Endorsed Transactions on Scalable Information Systems, 2021, https://eudl.eu/doi/10.4108/eai.3-5-2021.169578

D. Hemavathi, V. R. Kumar, R. Regin, S. S. Rajest, K. Phasinam and S. Singh, "Technical Support for Detection and Prediction of Rainfall," 2021 2nd International Conference on Smart Electronics and Communication (ICOSEC), 2021, pp. 1629-1634, doi: 10.1109/ICOSEC51865.2021.9591762.

Jayakumar P., Suman Rajest S., Aravind B.R. (2022) An Empirical Study on the Effectiveness of Online Teaching and Learning Outcomes with Regard to LSRW Skills in COVID-19 Pandemic. In: Hamdan A., Hassanien A.E., Mescon T., Alareeni B. (eds) Technologies, Artificial Intelligence and the Future of Learning Post-COVID-19. Studies in Computational Intelligence, vol 1019. Springer, Cham. https://doi.org/10.1007/978-3-030-93921-2_27

S. Joghee, A. Dubey and S. Singh, "Investigation of green marketing practices of UAE hypermarkets", International Journal of Enterprise Network Management, vol. 12, no. 4, p. 367, 2021.

S. Singh, S. Mondal, L. Singh, K. Sahoo and S. Das, "An Empirical Evidence Study of Consumer Perception and Socioeconomic Profiles for Digital Stores in Vietnam", Sustainability, vol. 12, no. 5, p. 1716, 2020.

Chutimon Narawish, Dilip Kumar Sharma, S. Suman Rajest, R. Regin, “Importance of Cost Efficiency in Critical Aspect of Influences the Decision-Making Process in Banks”, “Turkish Journal of Physiotherapy and Rehabilitation; 32(3), pp. 47184-47212, 2021.

Desfiandi, S. Suman Rajest, P. S. Venkateswaran, M. Palani Kumar and S. Singh, "Company Credibility: A Tool to Trigger Positive Csr Image In The Cause-Brand Alliance Context In Indonesia", Humanities & Social Sciences Reviews, vol. 7, no. 6, pp. 320-331, 2019.

Manaa, Mehdi Ebady; Obaid, Ahmed J; Dosh, Mohammed Hussein, 2021. Unsupervised Approach for Email Spam Filtering using Data Mining, EAI Endorsed Transactions on Energy Web, DOI: 10.4108/eai.9-3-2021.168962.

Azmi Shawkat Abdulbaqi, Ahmed J. Obaid & Alyaa Hashem Mohammed (2021) ECG signals recruitment to implement a new technique for medical image encryption, Journal of Discrete Mathematical Sciences and Cryptography, 24:6, 1663-1673, DOI: 10.1080/09720529.2021.1884378

Obaid A.J., Sharma S. (2021) Data-Mining Based Novel Neural-Networks-Hierarchical Attention Structures for Obtaining an Optimal Efficiency. In: Favorskaya M.N., Peng SL., Simic M., Alhadidi B., Pal S. (eds) Intelligent Computing Paradigm and Cutting-edge Technologies. ICICCT 2020. Learning and Analytics in Intelligent Systems, vol 21. Springer, Cham.

S. Agarwal and S. Singh, "Customer Progression and Perception about Premium Men's Apparel Brands : A Case of Indian Male Professionals", Middle East Journal of Business, vol. 10, no. 1, pp. 50-56, 2015.

Abdulreda, A., Obaid, A. (2022). A landscape view of deepfake techniques and detection methods. International Journal of Nonlinear Analysis and Applications, 13(1), 745-755.

Abdulbaqi, A., Younis, M., Younus, Y., Obaid, A. (2022). A hybrid technique for EEG signals evaluation and classification as a step towards to neurological and cerebral disorders diagnosis. International Journal of Nonlinear Analysis and Applications, 13(1), 773-781.

Pandey, D., Wairya, S., Al Mahdawi, R., Najim, S., Khalaf, H., Al Barzinji, S., Obaid, A. (2021). Secret data transmission using advanced steganography and image compression. International Journal of Nonlinear Analysis and Applications, 12(Special Issue), 1243-1257.

Adhikari, S., Hutaihit, M., Chakraborty, M., Mahmood, S., Durakovic, B., Pal, S., Akila, D., Obaid, A. (2021). Analysis of average waiting time and server utilization factor using queueing theory in cloud computing environment. International Journal of Nonlinear Analysis and Applications, 12(Special Issue), 1259-1267.