Abstract This paper is an extension of the work published in year 2010 in which compressive strength of plain concrete confined with Ferrocement was estimated using mathematical models and compared with 55 experimental results. In this paper, predictive model of compressive strength for plain concrete confined with Ferrocement has been developed by using MATLAB Artificial Neural Network (ANN) s...

This paper presents a methodology for identification and classification of bulk sugary food objects. Comprising of south Indian typical sweets like Applecake, Bundeladu, Burfi, Doodhpeda, Jamun, Jilebi, Kalakand Ladakiladu, Mysorepak and Suraliholige. When these sweets arranged for display at the shops exhibit different patterns and hence texture is the basis used for recognition. The texture f...

COVID-19 is a novel coronavirus that was emerged in December 2019 within Wuhan, China. As the crisis of its severe, increasing dynamic outbreak all parts globe, forecast maps and analysis confirmed cases (CS) becomes vital excellent changeling task. In this study, new forecasting model presented to analyze CS for coming days based on reported data since 22 January 2020. The proposed model, name...

This paper proposes a Neural Network model using Generalised kernel functions for the hidden layer of a feed forward network. These functions are Generalised Radial Basis Functions (GRBF), and the architecture, weights and node topology are learned through an evolutionary algorithm. The proposed model is compared with the corresponding standard hidden-node models: Product Unit (PU) neural netwo...

Accurate classification of images is essential for the analysis of mammograms in computer aided diagnosis of breast cancer. We propose a new approach to classify mammogram images based on fractal features. Given a mammogram image, we first eliminate all the artifacts and extract the salient features such as Fractal Dimension (FD) and Fractal Signature (FS). These features provide good descripti...

Bangla character recognition is very important field of research because Bangla is most popular language in the Indian subcontinent. Research on Bangla character recognition has been started since mid 1980’s. Different types of techniques already applied and the performance is examined. This paper is a complete Optical Character Recognition (OCR) system for printed Bangla characters. Preprocess...

We examine two methods which are used to deal with complex machine learning problems: compressed sensing and model compression. We discuss both methods in the context of feed-forward artificial neural networks and develop the backpropagation method in compressed parameter space. We further show that compressing the weights of a layer of a multilayer perceptron is equivalent to compressing the i...

Since past few years, researchers have been concentrating on the classification of Electromyography Signal. This method is very convenient in diagnosing the neuro-muscular disorders, which consists of wide spread diseases affecting peripheral nervous system. Progressive muscle weakness is the major form of these disorders. Out of various proposed methods, scholars are commonly focusing on Neura...

In this article an attempt is made to study the applicability of a general purpose, supervised feed forward neural network with one hidden layer, namely. Radial Basis Function (RBF) neural network. It uses relatively smaller number of locally tuned units and is adaptive in nature. RBFs are suitable for pattern recognition and classification. Performance of the RBF neural network was also compar...