Soft computing, as opposed to traditional computing, deals with approximate models and gives solutions to complex real-life problems. Unlike hard computing, soft computing is tolerant of imprecision, uncertainty, partial truth, and approximations. In effect, the role model for soft computing is the ...
1998). Both terms are the main constituents of soft computing. The first term is mathematically explained by probability theory and concerns the question of whether something occurs or not, while the latter
Soft Computing (SC) represents a significant paradigm shift in the aims of computing, which reflects the fact that the human mind, unlike present day computers, possesses a remarkable ability to store and process information which is pervasively imprecise, uncertain and lacking in categoricity. At ...
摘要: Discusses the fusion of soft computing and hard computing in several engineering applications. Representation of the ambiguity in human thinking with real life uncertainty; Relationship between hard computing and fuzzy logic.被引量: 70
machine learning and soft computing techniques have been widely applied to disparate fields, becoming, in several cases, the leading technology. The aim of the work is to investigate the trends of the machine learning (ML) and soft computing (SC) methodologies for ICT security. In particular, ...
Overview Pretrained models Key Features How to Get Started TAO Architecture Model Pruning Learning Resources Tutorial Videos Getting started with NVIDIA TAO Create Custom Multi-Modal Fusion Models Use visual prompt for In-context segmentation with NVIDIA TAO Estimate and track object pose...
We give highlights of AI and computational intelligence applications in the new field of general purpose computing on graphics hardware (GPGPU). In particular, we surveyed genetic programming (GP) use with GPU. We gave several applications from Bioinformatics and showed that how the fastest GP is ...
Soft Computing refers to the name for solving the hardest problems with which human are confronted today that tolerates the imprecision, uncertainty, partial truth, and approximation of the solutions. Nature inspired algorithms, like evolutionary algorithms, swarm intelligence, and neural networks become...
Soft Computing in Medical Data Mining: A Survey The successful application of data mining in highly visible fields like e-business, marketing and retail has led to its application in other industries and sectors like healthcare. The healthcare environment is still information rich' bu... T. Dev...
The integration of probabilities reasoning and neural networks hence forms the fundamentals or essentials of soft computing. This soft computing is considered as an unfolding perspective to construct hybrid intelligent systems competent of reasoning and learning in an unresolved and vague framework. 5.1....