Lijuan Cao – författare
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2 produkter
2 produkter
Inbunden, Engelska, 2014
1 663 kr
Skickas inom 5-8 vardagar
Recent decades have seen China's domestic consumption in sectors such as food, housing, health care, education and travel greatly increase. This important book assesses China's current food consumption trends and the outlook for its future needs of such a crucial commodity.Key features of the book include:A systematic examination of the key elements shaping food consumption, with particular attention to factors peculiar to China;An evaluation of changes in food consumption between rural and urban residents, the rich and poor, and consumers of different regions and identification of the key drivers behind such changes;A comprehensive coverage of all major food items including foodgrains, meats and other animal products, fruits and vegetables, alcoholic drinks, and aquacultural products; andA projection for China s food import needs by 2020.This book will be of great relevance to anyone who is interested in the dynamics of Chinese food consumption, such as commodity traders, leaders of agri-food industries, food trade officials, and food market researchers. It will also prove a valuable reference for undergraduate and postgraduate students majoring in food marketing and trade, general food and agricultural economics and scholars studying food consumption issues.
Inbunden, Engelska, 2003
1 589 kr
Tillfälligt slut
Exotic methods refer to specific functions within general soft computing methods such as genetic algorithms, neural networks and rough sets theory. They are applied to ordinary shares for a variety of financial purposes, such as portfolio selection and optimization, classification of market states, forecasting of market states and data mining. This is in contrast to the wide spectrum of work done on exotic financial instruments, wherein advanced mathematics is used to construct financial instruments for hedging risks and for investment.In this book, particular aspects of the general method are used to create interesting applications. For instance, genetic niching produces a family of portfolios for the trader to choose from. Support vector machines, a special form of neural networks, forecast the financial markets; such a forecast is on market states, of which there are three — uptrending, mean reverting and downtrending. A self-organizing map displays in a vivid manner the states of the market. Rough sets with a new discretization method extract information from stock prices.