Modelling of optimised neural network for classification and prediction of benchmark datasets

ABSTRACT

Along with the reason of optimization of the Spread factor of a generalized regression neural network (Grnn) which is a variant of radial basis function network (Rbfn), the projected paper presents a novel algorithm which incorporates two of the soft-computing methods explicitly particle swarm optimization (Pso) as well as genetic algorithm (Ga). As in case of a normal Grnn for simulation of the network, instead of taking any random value for Spread factor, the Spread factor value has been optimized by using Pso then Ga as a result with the purpose of the network converges more rapidly with greater accuracy and minimum mean square error (MSE). Initial some random values of the Spread factor are calculated according to the positions in PSO algorithm and then the more unrealistic values of the spread are converted into realistic values using improved Ga. First on top of a few part of the UCI dataset Grnn is trained and this is used for testing on the remaining datasets. Projected algorithms classify and predict databases in the lesser amount of mean square error and with high accuracy also, the performance of the designed algorithm is tested by cross fold validation methods.

KEYWORDS:

• Generalised regression neural network (Grnn)
• radial basis function network (Rbfn)
• particle swarm optimisation (Pso)
• genetic algorithm (Ga)
• benchmark databases prediction
• classification and optimisation

Disclosure statement

No potential conflict of interest was reported by the authors.

Additional information

Notes on contributors

Pravin Kshirsagar

Pravin Kshirsagar is currently working as an Associate Professor, HOD E&TC and Dean PG from the G.H. Raisoni College of Engineering and Management, Wagholi, Pune, Maharashtra, India. He has completed his Bachelor’s in Electronics Engineering from the SRTMU, Nanded, Maharashtra, and Master’s of Technology from the RTMNU, Nagpur. He has completed his Doctorate degree from the Gondwana University, Maharastra. He has filed two patents in the Indian Patent Office. He has published three books and more than 50 papers in national and international journals. He has a total experience of 18 years and worked in areas like biomedical signal processing, soft computing techniques and image processing. He is a member of IEEE, IETE, ISTE, FISRD and IEANG.