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Artificial neural net based noise cancellor
This paper presents a new method for noise cancellation with an Artificial Neural Network. The network used is a feedforward one with three layers. The backpropagation and Stastical Cauchy's learning algorithms are employed for adaptation o...
Case studies in modelling cooperative knowledge systems
Understanding cooperative knowledge systems is becoming a central issue in Al research. The questions centre around complexity of management of separate knowledge sources In terms of heterarchical and hierarchical organisation structures, a...
A knowledge representation paradigm for multiple expert systems
The expert system technology has grown to a level where expertise of single expert is found inadequate to tackle complex problems. Recently the focus of research has now been oriented towards methodologies in which several expert systems ca...
Tutoring system for circuit theory with passive elements
An iterative approach to pattern recognition
VLSI implementable neural network for solving linear programming problems efficiently
An adaptive algorithm is proposed for solving the Linear Programing problems using Neural Networks. The LP-solver circuit structure Is designed which can implement the adaptive algorithm. The advantages of the proposed LP-solver have been d...
GNU-Aid: Intelligent computer aided instruction system
Educational applications of computer technology have been under development since the early 1960s. These applications have included scheduling courses, managing teaching aids, and grading tests. The predominant application, however, has bee...
Karnaugh Maps - An artificial intelligence approach
The software developed includes an expert system for the simplification of switching circuit expressions with the help of k-maps. The method has been developed for a four variable k-map. The significance of AI becomes clear when we consider...
An optimization approach to the analysis of generalized learning automata algorithms
Weak convergence methods are used to analyse generalized learning automata algorithms. The REINFORCE algorithm has been analysed. It is shown by an example that this algorithm can exhibit unbounded behaviour. A modification based on constra...
Neural Network Approach to Pisarenko's Harmonic Retrieval Method
Pisarenko's Harmonic Retrieval (PHR) Method Is Perhaps The First Eigenstructure Based Spectral Estimation Technique. The Basic Step In This Method Is The Computation Of The Eigenvector Corresponding To The Minimum Eigenvalue Of The Autocorr...