Category: AI Evolving with New Age Techniques

Population: It is a subset of all the possible solutions to the given problem. Chromosomes: A chromosome is the individual solution to the given problem. Gene: A gene is one element position of a chromosome. Allele: It is the value which a gene takes for a particular chromosome. Genotype: Genotype is the population (solution) in the computation space that can…

Transfer learning is the reuse of a pre-trained model on a new problem (as shown in Fig. 10.34). So, a machine exploits the knowledge gained from a previous task to improve generalization about another. For example, a classifier that is trained to predict whether an image contains food or not can also be used to recognize…

Soft computing refers to a group of computational techniques that are based on artificial intelligence (AI) and natural selection. They are often used to develop cost-effective solutions for complex real-world problems that are either difficult or impossible to be solved by conventional computing techniques.   Soft computing differs from conventional computing as it deals with…

Nature has always been a great source of inspiration to all mankind. Genetic algorithm is a subset of evolutionary computation. It is a search-based optimization technique that draws its concept from the principles of genetics and natural selection. The main take away of these algorithms is that they can find optimal or near-optimal solutions to difficult optimization problems…

The word ‘fuzzy’ means the things that are not clear (or are vague). In real-life situations, we often encounter circumstances in which it is difficult to determine whether to go this way or that or given a statement, it is difficult to judge whether it is true or false. In such a situation, fuzzy logic provides many…