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Modelling Community Structure in Freshwater Ecosystems
This volume presents approaches and methodologies for predicting the structure and diversity of key aquatic communities (namely, diatoms, benthic macroinvertebrates and fish), under natural conditions and under man-made disturbance. The intent is to offer an organized means for modeling, evaluating and restoring freshwater ecosystems.
Artificial Neuronal Networks
In this book, an easily understandable account of modelling methods with artificial neuronal networks for practical applications in ecology and evolution is provided. Special features include examples of applications using both supervised and unsupervised training, comparative analysis of artificial neural networks and conventional statistical methods, and proposals to deal with poor datasets. Extensive references and a large range of topics make this book a useful guide for ecologists, evolutionary ecologists and population geneticists.
Spatially Explicit Hyperparameter Optimization for Neural Networks
Neural networks as the commonly used machine learning algorithms, such as artificial neural networks (ANNs) and convolutional neural networks (CNNs), have been extensively used in the GIScience domain to explore the nonlinear and complex geographic phenomena. However, there are a few studies that investigate the parameter settings of neural networks in GIScience. Moreover, the model performance of neural networks often depends on the parameter setting for a given dataset. Meanwhile, adjusting the parameter configuration of neural networks will increase the overall running time. Therefore, an automated approach is necessary for addressing these limitations in current studies. This book proposes an automated spatially explicit hyperparameter optimization approach to identify optimal or near-optimal parameter settings for neural networks in the GIScience field. Also, the approach improves the computing performance at both model and computing levels. This book is written for researchers of the GIScience field as well as social science subjects.
Research Anthology on Artificial Neural Network Applications
Artificial neural networks (ANNs) present many benefits in analyzing complex data in a proficient manner. As an effective and efficient problem-solving method, ANNs are incredibly useful in many different fields. From education to medicine and banking to engineering, artificial neural networks are a growing phenomenon as more realize the plethora of uses and benefits they provide. Due to their complexity, it is vital for researchers to understand ANN capabilities in various fields. The Research Anthology on Artificial Neural Network Applications covers critical topics related to artificial neural networks and their multitude of applications in a number of diverse areas including medicine, fi...
Information Engineering and Applications
In past twenty years or so, information technology has influenced and changed every aspect of our lives and our cultures. Without various IT-based applications, we would find it difficult to keep information stored securely, to process information and business efficiently, and to communicate information conveniently. In the future world, ITs and information engineering will play a very important role in convergence of computing, communication, business and all other computational sciences and application and it also will influence the future world's various areas, including science, engineering, industry, business, law, politics, culture and medicine. The International Conference on Informat...
Computational Intelligence in the Internet of Things
In recent years, the need for smart equipment has increased exponentially with the upsurge in technological advances. To work to their fullest capacity, these devices need to be able to communicate with other devices in their network to exchange information and receive instructions. Computational Intelligence in the Internet of Things is an essential reference source that provides relevant theoretical frameworks and the latest empirical research findings in the area of computational intelligence and the Internet of Things. Featuring research on topics such as data analytics, machine learning, and neural networks, this book is ideally designed for IT specialists, managers, professionals, researchers, and academicians.
Fisheries Review
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China’s Long and Winding Road to Modernization
China’s Long and Winding Road to Modernization: Uncertainty, Learning, and Policy Change interprets contemporary China’s economic transformation from Austrian and evolutionary perspectives. Fu-Lai Tony Yu and Diana S. Kwan incorporate culture, institutions, government agents and entrepreneurship to understand economic change in China. In this book, the authors emphasize the roles of uncertainty, learning, and experimentation in policy making. Topics discussed range from a presentation of theoretical frameworks to understand China’s economic transformation, an account of China’s economic management during 1950-1978, the economic reformation after 1979 concurrent with Deng Xiaoping’s Open Door Policy, and China’s rise as a global power. These topics culminate in the final section of the book which suggests a path for China’s modernization.
Management and Sustainable Development of Coastal Zone Environments
Coastal areas face increasing pressures from land use change, developmental activities, shoreline erosion, biodiversity losses and natural calamities. This volume addresses these issues facilitating the integrated analysis of the sustainability of coastal zones. The contributors have tried to focus their respective works on the problems that need urgent attention relevant to present day issues. Coastal Zone Management and its sustainability strategy should safeguard ecological security of the coastal areas, avoid pollution as well as exploitation of living and non living aquatic resources, protecting also the agrarian community and avian population and other floral and faunal breeding grounds. Articles have been selected on the basis of sound scientific findings hoping that it will help in developing meaningful regulations for future sustainable coastal management zone.
Sustainable Governance of Natural Resources
A comprehensive theoretical synthesis of the various success factors required to successfully and sustainably manage natural resources, Sustainable Governance of Natural Resources offers a quantitative model to predict the success of natural resource management.
