The roots of backpropagation: from ordered derivatives to neural networks and political forecasting
The roots of backpropagation: from ordered derivatives to neural networks and political forecasting
Swarm intelligence: from natural to artificial systems
Swarm intelligence: from natural to artificial systems
Swarm intelligence
Neural Networks: A Comprehensive Foundation
Neural Networks: A Comprehensive Foundation
Recognition of facial expressions using Gabor wavelets and learning vector quantization
Engineering Applications of Artificial Intelligence
An MSc program in computational economics with a focus on computational intelligence
IEEE Computational Intelligence Magazine
Computational Intelligence-Based Biometric Technologies
IEEE Computational Intelligence Magazine
IEEE Computational Intelligence Magazine
Advances in artificial immune systems
IEEE Computational Intelligence Magazine
Evolving artificial neural network ensembles
IEEE Computational Intelligence Magazine
Evolutionary computation and games
IEEE Computational Intelligence Magazine
Evolvable hardware: using evolutionary computation to design and optimize hardware systems
IEEE Computational Intelligence Magazine
A research-led and industry-oriented MSc program in natural computation
IEEE Computational Intelligence Magazine
Particle Swarm Optimization: Basic Concepts, Variants and Applications in Power Systems
IEEE Transactions on Evolutionary Computation
Generalized neuron: Feedforward and recurrent architectures
Neural Networks
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
Bio-inspired algorithms for autonomous deployment and localization of sensor nodes
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Computational intelligence in software cost estimation: an emerging paradigm
ACM SIGSOFT Software Engineering Notes
A swarm intelligence based distributed localization technique for wireless sensor network
Proceedings of the International Conference on Advances in Computing, Communications and Informatics
A survey of computational intelligence approaches for software reliability prediction
ACM SIGSOFT Software Engineering Notes
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This article presents experiences from the introduction of a new three hour interdisciplinary course on computational intelligence (CI) taught at the Missouri University of Science and Technology, USA at the undergraduate and graduate levels. This course is unique in the sense that it covers five main paradigms of CI and their integration to develop hybrid intelligent systems. The paradigms covered are artificial immune systems (AISs), evolutionary computing (EC), fuzzy systems (FSs), neural networks (NNs) and swarm intelligence (SI). While individual CI paradigms have been applied successfully to solve real-world problems, the current trend is to develop hybrids of these paradigms since no one paradigm is superior to any other for solving all types of problems. In doing so, respective strengths of individual components in a hybrid CI system are capitalized while their weaknesses are eliminated. This CI course is at the introductory level and the objective is to lead students to in-depth courses and specialization in a particular paradigm (AISs, EC, FSs, NNs, SI). The idea of an integrated and interdisciplinary course like this, especially at the undergraduate level, is to expose students to different CI paradigms at an early stage in their degree program and career. The curriculum, assessment, implementation, and impacts of an interdisciplinary CI course are described.