You never had a science teacher like this! Max Axiom is a super-cool super-scientist who demonstrates and explains science in ways never before seen in the classroom. Whether shrinking down to the size of an ant or riding on a sound wave, Max does whatever it takes to make science super cool and accessible.

You never had a science teacher like this! Max Axiom is a super-cool super-scientist who demonstrates and explains science in ways never before seen in the classroom. Whether shrinking down to the size of an ant or riding on a sound wave, Max does whatever it takes to make science super cool and accessible.

"Daniel felt his bones creak and his body stretch as the System lost control of its programming..." In the year 2115, Daniel and Jack are lost in their favourite Virtual Reality game when suddenly the system crashes and the evil Azkar and an army of computer game scum take over the virtual world. Unable to get back to Realworld, the friends face being destroyed as the program is deleted, one data line at a time. Could a giant Owlbear, a deranged Cyborg, or even a girl save them before the Datwipe countdown hits zero?

Many papers and articles have been written about forecasting the outcome of sporting events, various methods have been used, the predominant methods in use are statistical, with a smaller proportion using soft computing techniques (ie Neural Nets, Fuzzy Logic, adaptive networks, and Genetic algorithms). This book explores the creation of Fuzzy Inference Systems to forecast English Football league outcomes using Clustering techniques. It attempts to achieve at least the results obtained by Statistical techniques and Fuzzy Inference systems to date, both of which achieved 64% forecast performance. The training and test datasets were taken from 22 seasons of fixtures (1984 to 2005). A specific genetic optimisation procedure called 'radii competition' is used to achieve the best forecast performance. The data includes, 12 factors about each team, including historical and current facts to build a profile of each team. This profile enables the program to set relative strengths. The book succeeds in its goal by exceeding the performance achieved by previous statistical and fuzzy models by 10%, maximum forecast performance achieved: 74.21%.