![]() ![]() Criteria specific to agent-based models and the coupling of both tools, such as the type and degree of coupling, have also been selected. A focus is carried out on 18 case studies which are analysed according to criteria derived from the four phases of LCA international standards. This paper aims at filing this gap by reviewing all papers coupling both tools. So far, no systematic study is available on how ABM can contribute towards a behavior-driven modelling in LCA. Agent-based models (ABMs) can reduce these uncertainties by improving the consumption system modelling in LCA. However, modelling the consumption system, such as the use phase of a product, remains challenging due to uncertainties in the socio-economic context. This will help individuals and organizations in understanding how vulnerable or otherwise their data and information is to the attackers and decides on the most cost effective mitigation method (s) that suits them as individuals or organizations as they intend to send data from one devise to another via internet or network connectivity.Life cycle assessment (LCA) has proven its worth in modelling the entire value chain associated with the production of goods and services. Removing attack paths reduces options for an attacker, but at what cost to individual or organization? This paper describes various network and internet vulnerabilities/attacks and their mitigation techniques as they apply to modern packet transfer. An organization will often trade security risk for availability of services. Attackers often leverage even correctly functioning network services to gain new capabilities. Vendors may be slow to release software patches, or deployment may be delayed because of excessive cost or effort. From this, risk mitigation options can be devised in terms of maximizing security in the networked environment as well as in on devices and minimizing cost in practice, vulnerabilities often remain in a network, even after they are discovered. To accurately assess the security of networked systems, one must understand how vulnerabilities can be combined to stage an attack. The overall security of a network cannot be determined by simply counting the number of vulnerabilities. ![]() Nowadays computer systems and other networking devices face sophisticated attackers who combine multiple vulnerabilities to penetrates networks with devastating impact. Moreover computer simulations using software NETLOGO 5.3.1 are carried out to compare the effectiveness of these two activations functions. These evaluations are done on the basis of global minima ratio, hamming distance and computational time. A correlation is carried out between hyperbolic tangent activation functions and (Zeng & Martinez) function based on Wan Abdullah method. The sole reason of this research paper is to develop the most effective activation function in doing logic programming in the background of Hopfield network. The most common way for the use of this demand were its boundedness in the unit interval, the functions, and its derivatives fast computability, and a number of amenable mathematical properties in the realm of approximation theory. The appearance of activation functions for artificial neural networks (ANNs) is used as system functions in research and technology. There are many customary activation functions which we are using with neural networks (NNs). ![]() Agent based modeling is widely emerging phenomenon used for comparing the performances of activation functions. ![]()
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