Humans are remarkable in processing speech, audio, image and some biomedical signals. Artificial neural networks are proved to be successful in performing several cognitive, industrial and scientific tasks. This peer reviewed book presents some recent advances and surveys on the applications of artificial neural networks in the areas of speech, audio, image and biomedical signal processing. It consists of 18 chapters prepared by some reputed researchers and practitioners around the globe.
Exploring the abstract nature of existence, this book delves into the thoughts and reflections that shape our daily lives. It invites readers to uncover the hidden questions and lost souls within urban landscapes, emphasizing the search for meaning amidst the chaos of modern life. Through its contemplative narrative, the book encourages a deeper understanding of the complexities of human experience.
Soft computing techniques are integral to various business applications. This collection features significant papers exploring these techniques, which include Bayesian networks, biclustering methods, case-based reasoning, data mining, Dempster-Shafer theory, ensemble learning, evolutionary programming, fuzzy decision trees, hidden Markov models, intelligent agents, k-means clustering, maximum likelihood Hebbian learning, neural networks, opportunistic scheduling, probability distributions with Monte Carlo methods, rough sets, self-organizing maps, support vector machines, uncertain reasoning, and other statistical and machine learning methods, often in combination. The business challenges addressed encompass a wide range of topics such as analyzing correlations between currency exchange rates, evaluating USA banks and Moody’s financial strength ratings, managing arrears, identifying business risks, assessing company audit fees, dental treatments, internal controls, intelligent tutoring systems, modeling agent behavior, the motor insurance industry, personal loan defaults, pricing strategies for market share growth, supply chain management pricing, probabilistic sales forecasting, user relevance feedback in online retrieval, and forecasting world crude oil spot prices.
Softcomputing techniques are crucial in various industries. This book compiles significant papers from renowned scientists worldwide, covering diverse application domains such as agroecology, bioinformatics, fluid-transport network design, dam scheduling, data analysis, phishing detection, transportation, motor fault detection, electronic circuit diagnosis, power distribution systems, flood routing, hazard sensing, healthcare, industrial chemical processes, software development knowledge management, local multipoint distribution systems, missing data estimation, rainfall intensity model calibration, systems engineering parameter identification, petroleum vessel mooring, P2P query answering, real-time strategy games, robot control, satellite heat pipe design, monsoon rainfall forecasting, structural design, tool condition monitoring, and vehicle routing, among others. The softcomputing techniques discussed include ant-colony optimization, artificial immune systems, artificial neural networks, Bayesian models, case-based reasoning, clustering techniques, differential evolution, fuzzy classification, fuzzy neural networks, genetic algorithms, harmony search, hidden Markov models, locally weighted regression analysis, probabilistic principal component analysis, relevance vector machines, self-organizing maps, and various machine learning and statistical methods, including their combinations.
