Neural Network Applications : A Review

Authors

  • Kadurumba C. H.  Department of Mechanical Engineering, Michael Okpara University of Agriculture Umudike, Umuahia, Nigeria
  • U.Nwaiwu  Department of Mechanical Engineering, Abia State University, Uturu, Nigeria
  • Okolie S. C  Department of Robotics/Artificial Intelligent Engineering, Skill G Innovation Center, Abuja, Nigeria
  • N. C Nwasuka  Department of Mechanical Engineering, Abia State University, Uturu, Nigeria
  • Ikeh V. C.  Department of Mechanical Engineering, Nigerian defence Academy Kaduna.
  • Nnamani A. P  Department of Robotics/Artificial Intelligent Engineering, Skill G Innovation Center, Abuja, Nigeria

Keywords:

Neural Network, Artificial Intelligence, Learning Algorithms, Architecture

Abstract

Neural Network(NN) as the name implies is a computer tool used for solving different practical problems. It offers the best solutions to many problems in image recognition, natural language processing, and speech recognition. The basic idea of neural networks(NN) is to simulate brain cells that are interconnected inside a computer so it could learn new things all by itself, for it to be able to recognize patterns, and make decisions just like the human brain. One of the advantages of using a Neural Network(NN) is its learning ability. Neural network learning provides an efficient ability in recognition. They are widely used in earthquake prediction, agriculture, and medicine, time series analysis for predicting future values. Neural Network(NN) was a useful tool in solving practical problems; its only shortcomings were in the area of robotics because it required lots of learning algorithms to be able to perform like humans, this shortcoming made it not to be accepted as a general learning tool.

References

  1. Rashi Aggarwal, Rajendra Kumar (2013)” A Comprehensive Review of Numerical Weather Prediction Models” International Journal of Computer Applications(IJCA) (0975 – 8887) Volume 74– No.18, July 2013
  2. Haruna Chiroma, Ahmad Shukri Mohd Noor, Sameem Abdulkareem, Adamu Abubakar, Arief Hermawan, Hongwu Qin, Mukhtar Fatihu Hamza, and Tutut Herawan” Neural Networks Optimization through Genetic Algorithm Searches: A Review” Received: 2 Apr. 2017, Revised: 29 May 2017, Accepted: 3 Jun. 2017 Published online: 1 Nov. 2017
  3. T. Logeswari, and M. Karnan(2010)" An improved implementation of brain tumor detection using segmentation based on soft computing".Journal of cancer research and experimental oncology.Vol. 2(1) pp. 006-014, March 2010 Available online http://www.academicjournals.org/JCREO.2010 Academic Journals
  4. Mahesh Yambal, Hitesh Gupta(2013)” Image Segmentation using Fuzzy C Means Clustering: A Survey.”.International Journal of Advanced Research in Computer and Communication Engineering, Vol. 2, Issue 7, July 2013, ISSN (Print): 2319-5940.ISSN (Online) : 2278-1021.
  5. Vikas Poonia,h,l Tiwari, Satan and Mishra (2018)" Hydrological Analysis by Artificial Neural Network: A Review" International Journal of Advance Research, Ideas, and Innovations in Technology ISSN: 2454-132X Impact factor: 4.295 (Volume 4, Issue 3) www.ijariit.com
  6. G.Preethi, B.Santhi(2011)" Study on Techniques of Earthquake Prediction" International Journal of Computer Applications (0975 – 8887) Volume 29– No.4, September 2011
  7. Guoqiang Peter Zhang(2010)” Neural Networks For Classification: A Survey” Ieee Transactions On Systems, Man, And Cybernetics—Part C: Applications And Reviews, Vol. 30, No. 4, November 2010
  8. Sumit Das, Aritra Dey, Akash Pal, Nabamita Roy (2015)" Applications of Artificial Intelligence in Machine Learning: Review and Prospect" International Journal of Computer Applications (0975 – 8887) Volume 115 – No. 9, April 2015
  9. Saurabh Shah, N.C. Chauhan (2015)" Classification of Brain MRI Images using Computational Intelligent Techniques" International Journal of Computer Applications(IJCA) (0975 – 8887) Volume 124 – No.14, August 2015
  10. Hayder H. Abbas, Adnan Khashman(2016)" Evaluation of Geographical Information System and Intelligent Prediction of Solar Energy" International Journal of Control Systems and Robotics http://www.iaras.org/iaras/journals/ijcsr
  11. Harshita Tuli, Sanjay Kumar (2014)" A Review on Delay Prediction Techniques in MANET‘’ International Journal of Computer Applications (IJCA)(0975 – 8887) Volume 108 – No 14, December 2014
  12. Hamid Sadabadia, Masood, Ghasemia, Ali Ghaffari(2006)" A Mathematical Algorithm For Ecg Signal Denoising Using Window Analysis" Biomed Pap Med Fac Univ Palacky Olomouc Czech Repub. 2007, 151(1):73–78. 73 © H. Sadabadi, M. Ghasemi, A. Ghaff Ari
  13. S N Kumar, Lalitha Kumari (2016)" Feedforward neural network-based automatic detection of the liver in computer tomography images" International Journal of PharmTech Research CODEN (USA): IJPRIF, ISSN: 0974-4304, ISSN (Online): 2455-9563 Vol.9, No.5, pp 231-239, 2016 https://www.researchgate.net/publication/304952400
  14. Roy Lachica, Dino Karabeg and Sasha Rudan(2014)" Quality, Relevance and Importance in Information Retrieval with Fuzzy Semantic Networks"
  15. Surender Kumar, Rupinder Kaur (2015)" Plant Disease Detection using Image Processing- A Review" International Journal of Computer Applications(IJCA) (0975 – 8887) Volume 124 – No.16, August 2015
  16. Duarte Trigueiros and Richard Tamer (2010)" Neural Networks and Empirical Research in Accounting" Vol. 2:6. No.-'· pp. 34';-355. 1996
  17. H. Sadjadian, H.D. Taghirad And A. Fatehi (2015) ‘’Neural Networks Approaches For Computing The Forward Kinematics Of A Redundant Parallel Manipulator". International Journal of Computational Intelligence(IJCI), Volume 2 Number 1 2015. Issn: 1304-2386
  18. Safa S. Ibrahim and Mohamed A.Bamatraf (2013)" Interpretation Trained Neural Networks Based On Genetic Algorithms International Journal of Artificial Intelligence & Applications (IJAIA), Vol.4, No.1, January 2013
  19. Alaeldin Suliman and Yun Zhang (2015)" A Review on Back-Propagation Neural Networks in the Application of Remote Sensing Image Classification" Journal of Earth Science and Engineering 5 (2015) 52-65 doi: 10.17265/2159-581X/2015. 01. 004
  20. Igbinosa, Sunday Osaretin (2011)" Determinants of Residential Property Value in Nigeria – A Neural Network Approach. International Multidisciplinary Journal, Ethiopia Vol. 5 (5), Serial No. 22, October 2011 ISSN 1994-9057 (Print) ISSN 2070--0083 (Online) DOI: http://dx.doi.org/10.4314/afrrev.v5i5.13 (Pp. 152-168)
  21. T.Daslinponsanthosh, P.Kannan (2014)" A Literature Survey For Object Recognition Using Neural Networks In FPGA" International Journal Of Scientific Research Engineering & Technology (IJSRET) Volume 2 Issue 10 pp 677-682 January 2014 www.ijsret.org ISSN 2278 – 0882
  22. S. Saravanan1, S. Kannan and C. Thangaraj (2012) ‘’ Electricity demand forecast using regression analysis” Ictact Journal on Soft Computing, July 2012, Volume: 02, Issue: 04
  23. Alanoud M. Aljedaie, Bashayer Hijji, Bedour Alrashidi, Hula M. Alkhassawneh, Kusum Yadav (2019)" Swarm Intelligence Algorithms: Concepts, Models, Applications" Sci.Int. (Lahore), 31(2), 217-222,2019 ISSN 1013-5316; CODEN: SINTE 8
  24. Abhishek Saxena, Neeta Verma & K. C. Tripathi(2015)" A Review Study of Weather Forecasting Using Artificial Neural Network Approach" International Journal of Engineering Research & Technology (IJERT) Vol. 2 Issue 11, November - 2013.ISSN: 2278-0181
  25. Dionicio D. Gante1, Bobby D. Gerardo2, and Bartolome T. Tanguilig Iii (2015)" Neural network model using backpropagation algorithm for credit risk evaluation". Proceeding of the 3rd International Conference on Artificial Intelligence and Computer Science (AICS2015), 12 - 13 October 2015, Penang, MALAYSIA. (e-ISBN 978-967-0792-06-4).
  26. S. Janpong, K-L. Areerak and K-N. Areerak (2011)" A Literature Survey of Neural Network Applications for Shunt Active Power Filters". World Academy of Science, Engineering and Technology International Journal of Electrical and Computer Engineering Vol:5, No:12, 2011
  27. Shorouq E-letter, Saad Ghaleb Yaseen(2010) ‘’ Applying Neural Networks for Loan Decisions in the Jordanian Commercial Banking System" IJCSNS International Journal of Computer Science and Network Security, VOL.10 No.1, January 2010
  28. Syahfinash Binti Shafii(2016)" Character Recognition Using Neural Network" Fakulti Kejuruteraan Elektronik dan Kejuruteraan Komputer Universiti Teknikal Malaysia Melaka June 2016
  29. Sachin Padmanabhan (2016)" Convolutional Neural Networks for Image Classification and Captioning" Department of Computer Science, Stanford University
  30. Megha Jain, KK Pathak‘’ Applications of Artificial Neural Network in Construction Engineering and Management-A Review"., International Journal of Engineering Technology, Management, and Applied Sciences. www.ijetmas.com August 2014, Volume 2 Issue 3, ISSN 2349-4476
  31. Lilia Lazli (2013)" Hidden Neural Network for Complex Pattern Recognition: A Comparison Study with Multi- Neural Network Based Approach" International Journal of Life Science and Medical Research Dec. 2013, Vol. 3, Iss. 6, PP. 234-245
  32. Angelo Cangelosi, Sara Invitto (2016)" New Technologies for Human-Robot Interaction and Neuroprosthetics" CEMAG-OA-0004-Mar-2016.R3
  33. C. Bhanuprakash, Y.S. Nijagunarya, M.A. Jayaram" Clustering of Faculty by Evaluating their Appraisal Performance by using Feed Forward Neural Network
  34. Lalithamma.G.A, Dr. P.S. Puttaswamy" Literature Review of Applications of Neural Networking Control Systems" International Journal of Scientific and Research Publications, Volume 3, Issue 9, September 2013 1 ISSN 2250-3153
  35. Dr.A.Jaganathan & S.Kuppuraj(2016)" Artificial Neural Networks Methods for Predicting the Performance and Process in the Milk Industry". e-ISSN: 2395 -0056 Volume: 03 Issue: 11 | Nov -2016 www.irjet.net p-ISSN: 2395-0072
  36. S.S.Khare, and A.R.Gajbhiye" Literature Review on Application of Artificial Neural Network (Ann) In Operation of Reservoirs ‘’International Journal of Computational Engineering Research||Vol, 03||Issue, 6||
  37. D. C. Ciresan, U. Meier, J. Schmidhuber. (2012)"Multi-column Deep Neural Networks for Image Classification"
  38. Hinton, G. E.; Osindero, S.; Teh, Y. (, 2013). "fast learning algorithm for deep belief networks" (PDF). NeuralComputation. 18 (7):15271554.
  39. Hinton, G. E.; Osindero, S.; Teh, Y. (, 2013). "fast learning algorithm for deep belief nets". NeuralComputation. 18 (7):15271554.

Downloads

Published

2020-04-30

Issue

Section

Research Articles

How to Cite

[1]
Kadurumba C. H., U.Nwaiwu, Okolie S. C, N. C Nwasuka, Ikeh V. C., Nnamani A. P, " Neural Network Applications : A Review, IInternational Journal of Scientific Research in Mechanical and Materials Engineering(IJSRMME), ISSN : 2456-3307, Volume 4, Issue 2, pp.07-18, March-April-2020.