Articles | Nigerian Journal of Mathematics and Applications

171

Research Article DOI: 10.67897/njma.2016.0inv11l7

MODELLING AND EVALUATION PERFORMANCES WITH NEURAL NETWORK USING CLIMATIC TIME SERIES DATA

T. O. Olatayo^*, A. I. Taiwo

Neural network model is an alternative powerful data modeling tool capable of capturing and representing non-linear relationships between variables. The methodology used in this research article were Artificial Neural network (ANN), Autoregressive Integrated Moving Average (ARIMA) and Fuzzy Time Series (FTS) models. The study revealed that, since ANN forecast performance evaluation has the lowest ...

Jun, 2016 pp. 205-216 3 views 3 downloads

172

Research Article DOI: 10.67897/njma.2022.r0bh89rm

An Orthogonal-Based Block Hybrid Method for the Solution of Third Order Ordinary Differential Equations

F. L. Joseph^*

An orthogonal polynomial of the weight function w(x) = x 2+x+1 in the interval [-1, 1] was created as the basis function in block methods using the collocation and interpolation methodology. For third-order problems, an efficient class of continuous and discrete numerical integration techniques of implicit hybrid form were devised and effectively implemented. These schemes were used to address thr...

Dec, 2022 pp. 211-240 2 views 1 downloads

173

Research Article DOI: 10.67897/njma.2022.9t4m6gdx

Collocation Approach for the Solution of Fredhlom Integro-Differential Equation of Fractional Order

Ajileye Ganiyu, James A. Adewale^*, Ayinde M. Abdullahi

In this work, the collocation method is developed to solve the fractional integro-differential equations using the Caputo sense. The integral form of the problem is obtained and transformed into a system of linear algebraic equations. Computed results are solved using Maple 18 in order to show the efficiency and accuracy of the method.

Jun, 2022 pp. 216-233 6 views 3 downloads

174

Research Article DOI: 10.67897/njma.2015.2hbnu7d6

A Modified Interior Penalty Function Method for Constrained Optimization Problems

Catherine N. Ejieji^*, J. Yohanna

Amodified Interior penalty function method algorithm for solving non-linear constrained optimization problems is presented in this work. The modified scheme was achieved by introducing a new function to the existing method and the proof of convergence for the new function is established. The modified algorithm is used to solve numerical examples and the results obtained show that the proposed inte...

Dec, 2015 pp. 216−227 10 views 2 downloads

175

Research Article DOI: 10.67897/njma.2016.tb2jpj4w

Analysis of a Steady Magnetohydrodynamic (MHD) Flow of a Convective Third Grade Fluid in a Constrained Geometry

Aiyesimi Y. M^*, Jiya M., R. O. Olayiwola, A. A. Wachin

This paper presents magnetohydrodynamic (MHD) flow of steady convective third-grade fluid in a constrained geometry. The non-linear governing equations were solved analytically.using homotopy perturbation method (HPM). The influences of dimensionless parameters on magnetohydrodynamic (MHD) flow of a convective third-grade fluid in a constrained geometrywere investigated. Simulation results reveale...

Jun, 2016 pp. 217-225 4 views 4 downloads

176

Research Article DOI: 10.67897/njma.2021.uo5xwt4n

Heat and Mass Transfer on Mhd Oscillatory Flow of a Couple Stress Fluid in an Asymmetric Tapered Channel with Suction Effects

S. Magaji Abubakar^*, Joseph Kpop Moses, Isah Jibril

Heat and Mass Transfer on MHD Oscillatory Flow of a Couple Stress Fluid in Asymmetric Tapered Channel with suction effects. The temperatures prescribed at the channel walls are non-uniform. Magnetic field strength which is uniform is applied transversely to the channel. Dimensionless parameters are used to non-dimensionalized the governing equations to dimensionless form. Closed form solution meth...

Jul, 2021 pp. 223−233 11 views 1 downloads

177

Research Article DOI: 10.67897/njma.2016.1vj4iopa

Modeling and Analytical Simulation of a Laminar Premixed Flame Impinging on a Normal Solid Surface

R. O. Olayiwola^*

The two most relevant applications of laminar, compressible boundary layer theory are the flat-plate flow and stagnation-point flow. In this paper, an analytical method for studyingchemically reacting flow in laminar premixed flame of carbon monoxide/oxygen mixture in the region of the stagnation point in the presence of work due to compression and heat generateddue to viscous dissipation is prese...

Jun, 2016 pp. 226-240 2 views 3 downloads

178

Research Article DOI: 10.67897/njma.2015.u7k7hqz7

Flow of an Incompressible MHD Third Grade Fluid Through a Cylindrical Pipe with Isothermal Wall and Joule Heating

Aiyesimi Y. M^*, Okedayo G. T, Obi B. I

In this paper, we considered the flow of an incompressible MHD third grade fluid through a cylindrical pipe with isothermal wall and Joule heating. Axial pressure-gradient was assumed to have induced the motion. The governing equations of the flow field are solved using perturbation method. Results are presented.

Dec, 2015 pp. 228−236 10 views 4 downloads

179

Research Article DOI: 10.67897/njma.2022.mbbgqq1o

Incorporating Prior Beliefs into the Construction of Prior Distribution of the Parameters: A: A Survival Analysis Approach

Juliana I. Consul^*

Bayesian inference requires the combination of prior experience and the observed data (in the form of the likelihood). There is the need to discuss the specification of prior information about the model parameters. This research has built a structure for the joint prior distribution depending on the type of covariate in the context of a general linear model. Some issues associated with prior elici...

Jun, 2022 pp. 234-249 6 views 1 downloads

180

Research Article DOI: 10.67897/njma.2021.eqebxei1

Analysis and Simulation of a Simplified Neural Network Model for Price Prediction in a Relation to the Inflationary Trend in Nigeria Markets

S. O. Momoh^*, H. O. Edogbanya, Z. O. Usman

This paper provides the concept of neural network model for price prediction is and what it can be used for as well as to solve a real data classification problem using the methods of Artificial Neural Network (ANN). However, in the application of ANN for predict ing the financial market, the use of technical analysis variables for price prediction is predominant. In this study, it was shown that ...

Jul, 2021 pp. 234−251 11 views