A dynamic neural network architecture based on the Time-Delay Neural Network and the Convolutional Neural Network is originated. The dynamic network achieves much better performance than those of MLP and TDNN when dealing with syllable recognition. Such performance is also comparable to that of the more popular HMM method.

Gait modification strategies play an important role in the overall success of total knee arthroplasty. There are a number of studies based on multi-body dynamic (MBD) analysis that have minimized knee adduction moment to offload knee joint. Reducing the knee adduction moment, without consideration of the actual contact pressure, has its own limitations. Moreover, MBD-based framework that mainly...

The recognition of handwritten Bangla digit is providing significant progress on optical character (OCR). It a very critical task due to the similar pattern and alignment handwriting digits. With modern research recognition, it reducing complexity classification by several methods, few problems encounter during wait be solved with simpler methods. emerging field artificial intelligence Deep Neu...

A new scheme to represent phonological changes during continuous speech recognition is suggested. A phonological tag coupled with its morphological tag is designed to represent the conditions of Korean phonological changes. A pairwise language model of these morphological and phonological tags is implemented in Korean speech recognition system. Performance of the model is verified through the T...

Human behavior can be detected and analyzed using video sequence is a latest research topic in computer vision & machine learning. used as basis for many modern applications, such surveillance, content-based information retrieval from videos etc. HBA (Human behaviour analysis) tricky to design develop due uncertainty ambiguity involved people’s daily activities. To address this gap, we prop...

Time series modelling and forecasting is a vibrant research field that had attracted the interest of scientific community in recent decades. Forecasts agricultural prices are proposed to be useful for farmers, governments, policy makers agribusiness industries. In this study, an effort made compare capabilities well-known linear Auto Regressive Integrated Moving Average (ARIMA) models, Delay Ne...

This work investigates the representational and inductive capabilities of time-delay neural networks (TDNNs) in general, and of two subclasses of TDNN, those with delays only on the inputs (IDNN), and those which include delays on hidden units (HDNN) . Both architectures are capable of representing the same class of languages, the definite memory machine (DMM) languages, but the delays on the h...