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Intelligent systems are yielded from integration of a logic programming and connectionist systems. Radial basis function neural network is a commonly-used type of feedforward networks. In this paper, we proposed a method for connectionist model generation using Radial Basis Function neural network to encode higher order logic programming. We encode each… (More)

The Little-Hopfield neural network programmed with Horn clauses is studied. We argue that the energy landscape of the system, corresponding to the inconsistency function for logical interpretations of the sets of Horn clauses, has minimal ruggedness. This is supported by computer simulations.

- Saratha Sathasivam
- 2008 Fifth International Conference on Computer…
- 2008

There are two ways to calculate synaptic weights for neurons in logic programming. There are by using Hebbian learning or by Wan Abdullah's method. Hebbian learning for governing events corresponding to some respective program clauses is equivalent with learning using Wan Abdullah's method for the same respective program clauses. We will evaluate… (More)

- Saratha Sathasivam
- 2011 Sixth International Conference on Bio…
- 2011

Abduction is the process of proceeding from data describing a set of observations or events, to a set of hypotheses which best explains or accounts for the data. Most of the work on abduction has been done using a logical or a probabilistic approach. In this paper, we describe logic recognition as application of this abduction underlying logic to identify… (More)

- Saratha Sathasivam, Wan Ahmad Tajuddin Wan Abdullah
- Computing
- 2010

Neural networks are becoming very popular with data mining practitioners because they have proven through comparison their predictive power with statistical techniques using real data sets. Based on this idea, we will present a method for inducing logical rules from empirical data—Reverse Analysis. When the values of the connections of a neural network… (More)

- Nawaf Hamadneh, Waqar A. Khan, Saratha Sathasivam, Hong Choon Ong
- PloS one
- 2013

Particle swarm optimization (PSO) is employed to investigate the overall performance of a pin fin.The following study will examine the effect of governing parameters on overall thermal/fluid performance associated with different fin geometries, including, rectangular plate fins as well as square, circular, and elliptical pin fins. The idea of entropy… (More)

Knowledge could be gained from experts, specialists in the area of interest, or it can be gained by induction from sets of data. Automatic induction of knowledge from data sets, usually stored in large databases, is called data mining. Data mining methods are important in the management of complex systems. There are many technologies available to data… (More)

Synaptic weights for neurons in logic programming can be calculated either by using Hebbian learning or by Wan Abdullah’s method. In other words, Hebbian learning for governing events corresponding to some respective program clauses is equivalent with learning using Wan Abdullah’s method for the same respective program clauses. In this paper we will… (More)

The logic of abduction and deduction contribute to our conceptual understanding of a phenomenon, while the logic of induction adds quantitative details to our conceptual knowledge. In this paper, we will look into how this reasoning techniquesabduction, deduction and induction, are relevant in neural networks logic programming. Deduction simplifies the… (More)

- Augustine Pwasong, Saratha Sathasivam
- Neurocomputing
- 2016

In this study, a quadratic regression model (QRM) and a cascade forward backpropagation neural network (CFBN) are jointly integrated together to form a hybrid model called the new hybrid quadratic regression method and cascade forward backpropagation neural (QRM-CFBN) network method. The new hybrid method was tested on a daily time series data obtained from… (More)